Analytics Senior Consultant Resume Samples
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Analytics Senior Consultant Resume Samples
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BL
B Lang
Brielle
Lang
5596 Elza Village
Philadelphia
PA
+1 (555) 603 1676
5596 Elza Village
Philadelphia
PA
Phone
p
+1 (555) 603 1676
Experience
Experience
Detroit, MI
Data Analytics Senior Consultant
Detroit, MI
Kilback, Cartwright and King
Detroit, MI
Data Analytics Senior Consultant
- Lead the preparation and presentation of complex written and verbal materials including reports, findings, presentations, and project planning
- Clearly articulate to stakeholders the value and benefits analytics can bring to clients
- Use analytical and visualisation software to access, transform, integrate, analyse and visualise client data to help solve real problems and identify real opportunities through identification of anomalies and unusual patterns and trends in data
- Deliver results by using data analytics to deal with large, disparate volumes of data, to gain critical insights quickly
- Working with clients to develop coherent and structured analytics strategies which address their business challenges, identify additional opportunities, and set out roadmaps for the delivery of continued value through analytics
- You will partner with business analysts, product managers, and fellow software engineers to build data pipelines and solve data-related problems within the team. You will play an instrumental role in building the data architecture and business intelligence infrastructure. You will also develop applications and tools for data integration, experimentation, quality, modelling, etc. You will be familiar with implementing business intelligence best practices such as dimensional modelling
- Use software to access, transform, integrate, analyse and visualise client data to help solve real problems and identify real opportunities through identification of anomalies and unusual patterns and trends in data
Chicago, IL
Senior Consultant, Heor Analytics
Chicago, IL
Bogisich-Hodkiewicz
Chicago, IL
Senior Consultant, Heor Analytics
- Assist with design and development of studies and associated protocols
- Strong leadership within a team environment, providing analytics/programming expertise
- Maintain and develop quality/QA/QC protocols related to data analytics
- Develop and foster current client relationships to produce new business opportunities
- Personal organization and time management
- Maintain and develop organizational systems and processes related to outcomes research services
- Supports a team of clinicians, researchers and project managers to support Cardinal Health’s outcomes research services
present
Chicago, IL
Analytics Anti-money Laundering Senior Consultant
Chicago, IL
Von, Jones and Goodwin
present
Chicago, IL
Analytics Anti-money Laundering Senior Consultant
present
- Create, manage, and utilize high performance relational databases (SQL Server 20012 Oracle 11.2g, Microsoft Access, OLAP and other proprietary software)
- Provide input with respect to practice technology initiatives and investments
- Assist in preparing and presenting complex written and verbal materials (reports, findings and presentations)
- Commitment to personal and professional growth, including the development of peers and junior staff
- Design and development of user-defined application modules (standard and web-based), perform data quality control, develop database reports and user interfaces, and normalize relational data
- Query and mine large data sets to discover transaction patterns, examine financial data and filter for targeted information - using traditional as well as predictive/advanced analytic methodologies
- Supervise, lead, and train junior associates in the aforementioned activities
Education
Education
Bachelor’s Degree in Management Information Systems
Bachelor’s Degree in Management Information Systems
Loyola Marymount University
Bachelor’s Degree in Management Information Systems
Skills
Skills
- Strong knowledge of core functions of an insurance company and general insurance
- Solid knowledge of Microsoft Office Suite and other business-related software systems, including processing systems and applications, hardware and software tools, programming languages, computer modeling, and spreadsheet applications
- Strong interpersonal, communication and presentation skills. Ability to effectively interact with all levels of CNA’s internal and external business partners
- Strong analytical, critical thinking and problem solving skills with the ability to effectively resolve complex situations and issues
- Solid project management, organization and planning skills with the ability to manage multiple projects effectively and lead teams
- Ability to exercise professional judgment and make critical business decisions effectively within scope of authority based on data analyses and reviews
- Ability to solve issues with a sense of urgency; utilizes and manages the available resources to make informed decisions and achieve superior results
- Strong knowledge of core functions of an insurance company and general insurance; in depth knowledge of P&C risks, including underwriting, reserving and reinsurance
- Strong project management, organization and planning skills with the ability to manage multiple projects effectively
- Ability to comprehend business data and metrics to further articulate analyses of data within internal reports
15 Analytics Senior Consultant resume templates
Read our complete resume writing guides
1
Itra-risk Analytics, Senior Consultant Resume Examples & Samples
- Design and development of analytic test to address the audit related risks
- Extraction, transformation/enrichment and loading of data in preparation for reporting and analysis (SQL and Mircosoft SSIS are the most likely toolset)
- Implementation of tests in Reporting tools (Microsoft Excel, SSRS and Tableau are the most likely tools)
- Where relevant, enhance existing analytical tests to reflect a client’s process and control environment
- Assist internal audit / external audit teams to interpret results and understand audit issues identified
- Assist in preparing audit reports that summarise the results of our audit work
- Reporting status and deliverables to engagement managers regularly and proactively
- Relevant degree/qualifications (Business/Computer Science/Accountancy/IT for example)
- Two to three years + experience in performing internal or external audit engagements and being involved of the delivery of data analytics on those projects. This includes, designing analytical audit tests, performing data extraction, cleansing, analysis and reporting. You will also be able to understand how to interpret the results of analytical test
- Currently working in either one of the large audit firms(Big 4) or in internal audit at a large global consultancy organization
- Strong information analysis skills (ie putting analysis in a business context and consulting with internal stakeholders)
- Data analysis and manipulations skills (SQL - essential)
- Understanding of business processes, risks and control
- Qualified, part qualified or on track to completing an accounting qualification is an advantage but not essential (e.g. ACCA, CFA, CIMA, ICAEW or equivalent
- Who we are
2
Credit Risk Analytics, Senior Consultant Resume Examples & Samples
- Provides communication and training efforts to promote understanding of risk measurement throughout the company
- Conducts analysis, independently ensuring accuracy and completeness
- Strategic in developing, implementing and administering programs within Risk Management for specific product(s)
3
Big Data & Analytics Senior Consultant Resume Examples & Samples
- Ability to use data mining, time series forecasting, predictive modeling and other techniques (simulation) to accurately identify, model and predict trends and patterns
- Advanced data management proficiency - programming, mathematical and statistical know-how combined with business acumen and the ability to communicate effectively
- Use of information in both structured and unstructured forms
- Conceptual knowledge and quantitative skills in order to frame questions to be answered from the data and to interpret and challenge the analysis undertaken
- Communications skills: routinely be required to have discussions with different stakeholders - those with deep analytic roles and with senior management
- New programming and analytics skills, web analytics
- Capacity to think broadly across the organization, to understand the bottom-line needs of the business, to know which analytics questions to pose to get to those bottom lines, and to measure and communicate results
- Experience with projects with evidence of Creative and Critical thinking a must
- Master/PhD in computer science/engineering/statistics
- Telecommunications related domain knowledge
- Advanced mathematical, statistical and analytical ability
- Data mining, Data protection, and governance
- Enterprise Data management
- Data visualization
- Specific user tools, (i.e. dashboards/KPI data/market analysis)
- NoSQL
- Deep knowledge and experience in use of statistical analysis packages
- Being able to administer software frameworks like Apache Hadoop (open source platform), Spark, Cloudera Impala, Hive, SAS
- Familiarity with newer statistical programming languages and facilities like R, Python or Pig
- Expertise in databases like noSQL, Cassandra or HBase
- Familiarity with telecom networks, services and the use of typical data sets available in such networks and the ability to use this data (e.g., data monetization, Customer Experience Improvement) for telecom service providers or applicable industry verticals (e.g., transportation, utilities)
4
Data Analytics Senior Consultant Resume Examples & Samples
- Help clients to identify and extract required data from complex IT systems including SAP and Oracle
- Use software to access, transform, integrate, analyse and visualise client data to help solve real problems and identify real opportunities through identification of anomalies and unusual patterns and trends in data
- Deliver results by using data analytics to deal with large, disparate volumes of data, to gain critical insights quickly
- Assist in developing additional analytics capability within our group
- A minimum of 3 years’ experience in an analytics or business analysis role
- Experience using tools such as Microsoft SQL access, transform, integrate, analyse client data and/or
- Experience using tools such as Tableau and/or Spotfire to analyse and visualise client data
- A history of delivering similar services into a range of government and corporate clients
- Relevant qualifications (which may include tertiary qualification(s) where you have used and worked with data)
- Ability to adapt to a constantly changing and growing business environment
- People able to hypothesise, analyse and draw conclusions from a variety of data sources and perform in-depth analysis
- Good written and verbal communication skills and an ability to communicate with internal and external clients and staff as well as work within a team environment
5
Risk Analytics Senior Consultant Resume Examples & Samples
- Overall technical requirements gathering and design for enterprise-wide Risk Management implementations with IBM’s AlgoONE suite of risk analytic engines
- Design and develop data integration and mapping scripts to seamlessly transfer data from vendors and internal source systems into AlgoONE and custom applications
- Configure and automate overnight batch systems for daily operations
- Deploy and configure complete system on Production, UAT and Development environments. Design and develop system monitoring and re-start scripts for support of system operation
- Work closely with financial engineering consultants, project managers and managing consultants within Risk Analytics Lab Services as well as interfacing with other IBM departments as needed
- Work closely with clients -on site implementations
- Availability to travel
- Document and provide knowledge transfer of system design and operations
- Provide 3rd level support to operations staff. Investigate and troubleshoot system operations and performance issues
- Strong English language skills
- Experience on Linux and Unix (Red Hat, Sun Solaris and AIX preferred) systems; some Windows Server 2008 desirable
- Database experience with Oracle, DB2, SQL Server
- Experience with data manipulation, transformation and cleansing using PERL, Shell and other script languages
- Sound knowledge of Object Oriented Programming concepts and experience with languages such as C++ and Java
- Strong analysis and problem-solving skills
- Strong verbal and written communication skills. Must be able to convey complex ideas to a variety of functional and technical audiences
- Strong client-facing skills
- Strong team skills
- Ability to multitask and take initiative
- Experience with financial applications and trading systems a definite asset. Willingness to learn financial and risk management basics essential
- At least 6 months experience in Experience with financial applications and trading systems a definite asset
- At least 6 months experience in Experience on Linux and Unix (Red Hat, Sun Solaris and AIX preferred) systems; some Windows Server 2008 desirable
- At least 6 months experience in Experience with data manipulation, transformation and cleansing using PERL, Shell and other script languages
- At least 6 months experience in Knowledge of Object Oriented Programming concepts and experience with languages such as C++ and Java
6
Business Analytics Senior Consultant Resume Examples & Samples
- Assist with the installation and configuration of software applications in accordance with the clients’ specifications
- Assist with building relational databases, and writing and testing calculations
- Discover appropriate business requirements and design the solution using best in class techniques
- Enable both Customers and Partners throughout the implementation lifecycle
- Extract, Transform and Load (ETL) data into both relational databases
- Work with our customers to facilitate and compile test scripts, test cases and overall testing plans
- Configure the Sales Performance Management (SPM) Application to successfully construct the required solution
- Document and communicate project status regularly to the Project Management team
- Coordinate and communicate with the customer’s project manager and project resources
- Provide experience to assist in the planning and execution of proposals and statements of work
- Assist the customer in making decisions to properly and creatively utilize features to meet the customer’s needs
- Present solutions that are consistent with the architecture and the design of Cogno's SPM application
- Demonstrate the ability to learn new application functionality – strive to be a Product expert
- Insurance / or Financial Services Domain experience (Business Understanding)
- Minimum 8 years project related experience with exposure to all phases of software development including: Analysis and Design, Implementation, Testing and Deployment specific to Incentive Compensation or Sales Performance Management solutions
- Experience implementing and integrating with anyone or more of the following: PeopleSoft, SAP, Baan, and Oracle
- Preferred technical certification (Relational Database Management System (RDBMS) certification – Oracle, SQLServer, etc.)
- Preferred Microsoft certification NT/other
- Required technical skills; working knowledge of Unix and Varicent’s supported database platforms ( Oracle, DB2, SQLServer)
- Tools: SQL, Microsoft Project; OS and environments: Windows (2000, 98, 95, NT…), Unix, MS-Dos., Web servers (tuxedo, iis, apache)
- Languages: JAVA, JavaScript, SQL, PL/SQL, XML
- Experience architecting technical enterprise solutions
- Understands Data Modeling concepts, methodologies and processes
- Able to work with minimal direction
- Understanding of, and experience with, application architecture (client/server, web, database)
- Experience writing database queries in SQL
- Experience with database development of stored procedures, triggers, and view functions
- Prior experience in building relational databases
- Able to complete calculations & reporting and to create complex formulas, macros and sophisticated formatting in Microsoft Excel
- Proven business communication skills (verbal and written)
- Demonstrated understanding of financial reporting concepts
- Proven knowledge of and hands on experience with
7
Senior Consultant IM / Analytics Resume Examples & Samples
- Hands on experience building compelling data visualizations (as well as lead and advice management on how the visualizations work.)
- The ability to convert complex data into straightforward visualisations
- Knowledge of tools such as Tableau, Qlikview, Spotfire, SAS or IBM SPSS
- Experience programming in one or more of the following: Matlab, R, Python, Scala or similar
- Traditional / conventional tool-based development skills such as Business Objects, Cognos, Microstrategy
- Exposure to computer programming skills in one or more of Java, C# and SQL, SAS are mandatory
- A passion for working with data and learning new methodologies, applications and skills for analysis
- Sharp analytical skills and ability to think laterally in approaching complex business problems
- Motivated to learn new approaches and skills as new visualisation tools emerge
- Strong communication skills both written and verbal
8
Senior Consultant Advanced Analytics Resume Examples & Samples
- Work directly with client to solve customer and marketing effectiveness problems by use of statistical methodologies (i.e. SAS linear regression models, ANOVA, decision trees, time series, Bayesian, etc.)
- Manage client expectations, and deliver solutions - including informative presentations with visualizations
- Manage off-shore team to complete deliverables
9
Senior Consultant, Operational Risk Analytics Resume Examples & Samples
- Supports stress testing, capital quantification and/or internal capital allocation methodologies. Ensures that modeling approaches meet both internal corporate needs and regulatory requirements related to prevailing regulatory guidance
- Provides technical/theoretical expertise to resolve risk issues and enhance overall risk framework. Works with other risk teams to ensure that risk management policies/processes and quantitative modeling approaches are consistent
- Role is balanced between high level operational execution and development, and execution of strategic direction of business function activities
- Responsible for direct interaction with different committees and/or senior management
10
Risk Advisory Data Analytics Senior Consultant Resume Examples & Samples
- B.Com IT / Informatics
- B.Com Accounting & Economics
- BSc IT / Computer Science
- Industrial Engineering (Operation Research)
- Programming languages: SQL, SAS, C++
- ACL skills are advantageous
- 2-5 years relevant experience in a consulting environment
- Have an understanding of relational databases
- Be able to analyse relationships between data
- Have experience with writing SAS and or SQL queries
- Be proficient in Excel, Word, Access, and PowerPoint
- Should be able to understand the fundamentals of programming
- Should have an overall understanding of audit
11
Advanced Analytics Enablement Cognitive Senior Consultant Resume Examples & Samples
- AAE Cognitive Senior Consultants will be responsible for designing and implementing strategies, architectures, ingestion, storage, consumption and delivery processes for complex, large-volume, multi-variate, batch and real time data sets used for modeling, data mining, and research purposes
- Perform data studies and data discovery routines for video, voice, weblog, sensor, machine and social media data sources or mash ups of new and existing data sources
- 3+ years of relevant Analytics consulting or industry experience
- At least 6 monthsexperience in Natural Language Processing (NLP), Linguistics, Advanced SemanticDesign, Visualization
- At least 6 mo experience in implementing IBM Watson, Cognitive scale. Apache
- At least 2+ years in Java Programming at User Interface (UI) level
- Demonstrated expertise with one full life cycle analytics engagement across strategy, design and implementation
- Bachelor's Degree in Engineering,Mathematics, Emperical Statistics or 4 years equivalent professional experience
- Willingness to travel toclient locations (80%-100%)
- Experience designing and implementingApache Open Source (Kafka, Storm, Spark) Frameworks to process end to end datamanagement life cycle for NLP, Machine Log Algorithms, and Text Miningalgorithms
- Ability to work independently,manage small engagements or parts of large engagements
- Strong oral and writtencommunication skills, including presentation skills (MS Visio, MS PowerPoint)
- Strong problem solving andtroubleshooting skills with the ability to exercise mature judgment
- Willingness to mentor juniorstaff
- Identify business opportunities to increase usability and profitability of information architecture
- Manage resources and budget on client projects
- Ability to scope out the effort and cost for an enterprise reporting solution
12
Analytics Anti-money Laundering Senior Consultant Resume Examples & Samples
- Create, manage, and utilize high performance relational databases (SQL Server 20012 Oracle 11.2g, Microsoft Access, OLAP and other proprietary software)
- Query and mine large data sets to discover transaction patterns, examine financial data and filter for targeted information - using traditional as well as predictive/advanced analytic methodologies
- Design and development of user-defined application modules (standard and web-based), perform data quality control, develop database reports and user interfaces, and normalize relational data
- Supervise, lead, and train junior associates in the aforementioned activities
- Provide input with respect to practice technology initiatives and investments
- Assist in preparing and presenting complex written and verbal materials (reports, findings and presentations)
- 3+ years of hands-on technical experience mining and analyzing electronic transactional data with a strong working knowledge of a relevant analytics software, such as SAS or Microsoft SQL Server
- Demonstrated ability to communicate effectively to all levels of client and engagement management
- Capable of balancing multiple projects with strong ability to properly delegate and meet deadlines
- Demonstrated experience related to AML / AML Analytics
- Flexibility to travel up to 100%
- Commitment to personal and professional growth, including the development of peers and junior staff
- Sense of responsibility to self, team and client
- Educational background in one or more of these areas
13
FSI Analytics Senior Consultant Resume Examples & Samples
- Currently in an analytics role within a financial services business or who is aligned to the FSI practice from another consultancy based business or is in a customer marketing role within a financial services business with hands on experience of using data to enhance sales & marketing performance
- Leading/part of a team who are implementing analytics within the financial services sector
- Good experience of managing projects end-to-end from capturing requirements to delivering change
- Experience of utilising and implementing analytics to drive sales growth and enhance marketing performance
- Ability to make analytics as part of the key strategic agenda within C suite
- Ability to interact with senior stakeholders and influence decision making
- Ability to help grow the Financial Services practise within customer analytics
- Ability to work in a collaborative way on multiple engagements at any given time
- Good understanding of a range of predictive and descriptive analytics models / solutions but not a data scientist
- Essential experience in some of the below
- Using customer data to drive marketing & sales performance via enhanced targeting and personalisation
- Desired experience in some of the below
- Digital analytics & digital marketing
- Campaign management
- Marketing-mix optimisation
- Pricing optimisation
- Data management / data architecture
- General / Life Insurance
- Retail Banking
14
Senior Consultant, Analytics & Insights Resume Examples & Samples
- B.A. or B.S. degree, Master’s Degree is desirable but not required
- 5+ years experience, preferably with a leading market research company, management consulting company or branding agency
- Strong understanding of research design, implementation and data analysis/analytics
- Experience in a range of quantitative and qualitative methodologies
- Experience with choice models/trade off analysis, segmentation techniques, customer journey mapping and/or ethnography/ observational research techniques is strongly preferred
- An interest and understanding of the healthcare market, drivers and trends is preferred
- Business acumen and consultative mindset
- Problem solving mentality
- Detail oriented and strong organizational skills
- Ability to prioritize multiple projects
- Experience in working with cross functional practice areas
15
Data Analytics Senior Consultant Resume Examples & Samples
- Bachelor’s degree in Mathematics, Statistics, Computer Science or other quantitative field
- Comprehensive knowledge of modern statistical learning methods
- Experience using applied statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets
- Expertise in statistical packages such as R or the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
- Experience with identifying and correcting for problems in imperfect data and processes
- Experience with data conversions, interfaces/integrations, reporting, and customizations
- Ability and eagerness to constantly learn and teach others
- Willingness to travel up to 50% or more
- Strong business and writing skills and experience presenting to senior management and executive stakeholders
- Experience with Natural Language Processing (ingest, parsing, developing taxonomies, search)
- Experience with commercial analytics tools (e.g. Alteryx, Tableau, Qlik, RapidMiner, TIBCO Spotfire, Datawatch)
- 2+ years of Tier 1 or Tier 2 consulting experience
16
Senior Consultant, Controls & Analytics Resume Examples & Samples
- Conducts analysis of GSS Global P2P projects and concepts by overseeing data collection; incorporating business metrics across multiple workstreams in order to develop a broad initiative view
- Leads the creation, analysis, and interpretation of information or reporting for one or more work streams to improve business efficiency by using various analytical methodologies
- Drives GSS Global P2P projects by measuring and tracking business metrics (for example, return on investment (ROI), sales impact, spend analytics, initiative communication and training effectiveness)
- Implements reporting approach based on business need and audience
- Designing and developing actionable reports, tools, and recommendations; identifying opportunities to enhance existing analysis systems and reporting tools (for example, dashboards, scorecards)
- Developing new reporting tools to track initiatives’ success rate; designing reports that enable senior leadership to make decisions and improve performance
- Ensuring reports are accurate, timely and adaptable to change within the business; drives to meet timelines and financial project goals
- Identifying areas for improvement within the business based on data analysis; and developing new analysis ideas and methods
- Designs, generates, and delivers reporting, metrics, analytics, and controls monitoring
- Develops reports to show the effectiveness of performance as compared to key objectives and metrics
- Drives the execution of multiple business plans and projects
- Ensures business needs are being met
- Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity
- Provides supervision and development opportunities for associates
- Reviews metrics and controls standards to ensure their relevancy
- Supports the implementation of new and ongoing tools in the areas of reporting, metrics, controls, and decision-support analytics
17
Senior ACO Analytics Consultant Resume Examples & Samples
- Develop, monitor and evolve the payment incentive model
- Work independently and interact with external constituencies
- Provide data analysis, contract auditing and metrics reporting to management
- Perform reconciliations to determine if physicians have met contractual obligations
- Advocate for best economics internally and externally
- Develop, analyze and monitor new, routine and ad hoc reports
- Solve unique and complex problems with broad impact on the business
- 5+ years of analytical experience in financial analysis, healthcare pricing, network management, healthcare economics, or related discipline
- 3+ years of experience with provider payment methodologies and healthcare products
- Advanced level of proficiency in performing financial impact analysis, risk management, and data manipulation
- 2+ years of experience in creating and using financial modeling tools, spreadsheets, and information acquisition tools including experience in interpreting and reviewing financial modeling results to evaluate the financial impact of contract changes and develop forecasts
- Advanced level proficiency in MS Excel
- Experience with relational databases (Oracle, SQL Server, SAS)
- Medicare ACO experience
18
Analytics Senior Consultant Resume Examples & Samples
- Provides a high level of leadership and expertise in systems analysis, design and testing of complex systems applications to support business needs
- Develops methodologies, assumptions, quantifications, and computer programs to capture data for complex analyses. Includes designing and writing programs using a variety of programming languages and software tools
- Provides strong quantitative support in financial analysis, management reporting, and other financial and statistical research
- Facilitates communication and provides technical guidance to business units and senior management regarding findings and recommendations
- Strong knowledge of core functions of an insurance company and general insurance
- Advanced technical knowledge of financial, economic and statistical practices, procedures and principles, which may include a specialty area
- Strong interpersonal, communication and presentation skills. Ability to effectively interact with all levels of CNA’s internal and external business partners
- Strong analytical, critical thinking and problem solving skills with the ability to effectively resolve complex situations and issues
- Solid project management, organization and planning skills with the ability to manage multiple projects effectively and lead teams
- Ability to exercise professional judgment and make critical business decisions effectively within scope of authority based on data analyses and reviews
- Ability to solve issues with a sense of urgency; utilizes and manages the available resources to make informed decisions and achieve superior results
- Ability to creatively and effectively manage through ambiguous and challenging problems, leads through change and takes appropriate level of risk
- Ability to comprehend business data and metrics to further articulate analyses of data within internal reports
- Solid knowledge of Microsoft Office Suite and other business-related software systems, including processing systems and applications, hardware and software tools, programming languages, computer modeling, and spreadsheet applications
- Bachelor's Degree in a relevant discipline, or equivalent
19
Senior Consultant, Customer Analytics Resume Examples & Samples
- Use available IMS data resources to generate reports addressing client needs, reviewing the reports with the client, follow up on client questions, and provide insight relevant to the client’s business
- Identify unique business scenarios and collaborate with Principal to bring the right IMS resources together to drive the client solution in ad hoc analyses
- Bachelor’s degree or equivalent with a minimum of seven (7) years relevant client service and/or analytic experience, or MBA and four (4) years relevant client experience
- Must understand multivariate statistical analyses, have expertise in Business Objects, Access, Excel and Powerpoint as well as have knowledge of prescription and longitudinal patient data and applications
- Experienced with IMS data access tools and report generation a plus
- Should have keen business acumen to know how the analytics, results, and output enable improved decision making and the ability to translate statistical results into meaningful business solutions
- Platform skills to deliver these results to a diverse audience, including top management are a big plus
20
Senior Consultant Predictive Analytics Resume Examples & Samples
- A strong analytical background in data science, advanced statistical methods or machine learning
- Extensive experience in healthcare / life sciences or the pharmaceutical industry
- Experience in healthcare / life sciences with focus on strategic business cases for analytics services or products
- Strong capability in managing analytics projects and juggling priorities so that deadlines are met while retaining consistently high quality outcomes
- Experience of working in sizable/multi-disciplined teams
- Experience of developing credible relationships with senior level managers and executives in the pharmaceutical/healthcare industry
- Inquisitiveness, attention to detail, ability to assess the situation and question norms
- Excellent presentation, communication and client influencing skills
- Well-developed written and verbal communication skills including presentations, chairing meetings, workshop facilitation, business and analytics report writing
- Prior experience with software packages such as R, Python, Matlab and SAS is desirable
- Knowledge of consulting methodologies, tools and techniques would be desirable
- BA/BSc from a top university, preferably in a relevant and / or numerate subject, e.g. computer science, economics, life sciences, chemistry, engineering, mathematics, statistics etc
- A postgraduate qualification in life sciences or computer science discipline is desirable although not essential
- Extensive experience in healthcare consulting / experience in life science sector industry
- A solid track record of extra-curricular achievement
21
Senior Consultant, Heor Analytics Resume Examples & Samples
- Develop new and innovative statistical programming to provide analysis of data from various sources for publishable research
- Timely and accurate delivery of project deliverables
- Maintain and develop quality/QA/QC protocols related to data analytics
- Support of complex projects from inception to completion
- Effectively lead issues resolution with project team and client
- Develop and foster current client relationships to produce new business opportunities
- Assist with design and development of studies and associated protocols
- Maintain and develop organizational systems and processes related to outcomes research services
- Supports a team of clinicians, researchers and project managers to support Cardinal Health’s outcomes research services
- Provides support to and coordination with Cardinal HEOR and Healthcare Analytics and Market Communications (HAMC) staff
- Bachelor’s degree; healthcare background preferred
- 6+ years experience in research-oriented analytics with significant experience using analytic software such as SAS, SPSS, R, Stata, etc
- Background in Outcomes Research, Epidemiology, Statistics/Biostatistics, Economics, Public Health, or related area
- Advanced Data Analytics in SAS required; Hands-on SAS programming in current position or within last 1-2 years strongly preferred
- SAS certification ideal
- Significant practical knowledge and experience working with medical chart review study data preferred
- Significant practical knowledge and experience working with small and large administrative healthcare database studies
- Statistical Analysis and/or modeling experience: Familiarity or better knowledge of budget impact modeling and cost effectiveness; return on investment, and other advanced modeling a plus
- Research, statistical design, and data management experience a plus
- Exceptional presentation and communication skills (written & verbal); demonstrated scientific publication experience a plus
- Proficiency in Microsoft Office Suite of Products
- Knowledge of applicable health information protection laws
- Knowledge of quality control procedures and ability to implement them
- Ability to work effectively in a close-nit, but remotely located, team environment
- Strong leadership within a team environment, providing analytics/programming expertise
- Personal organization and time management
- Close attention to detail and customer orientation
- Self-motivated, and effective team player
- Adaptive and flexible
- Effective communication and presentation skills, written and verbal
- Ability to travel up to 15%
- To be successful in this position, the Sr. Consultant/Research Analyst must have demonstrated ability to work independently, and provide leadership in the development and delivery of services within various business and healthcare settings
- The person in this role must possess and demonstrate a passion for supporting new business, cultivating key client relationships, and identifying opportunities to enhance and grow current business within pharmaceutical companies, research organizations, and other research partners
- Ability to identify, implement and change organizational processes and systems necessary to support efficient delivery of outcomes research services
22
Senior IoT Analytics Consultant Resume Examples & Samples
- 3+ years of experience implementing enterprise solutions with focus on data analytics and predictive decisions
- Master or Bachelor degree in Information Technology, Computer Science, or Business Information Systems
- Practical knowledge of the following technologies: Java EE, EJB3, JPA2
- Good knowledge of the following protocols and APIs (MQTT, AMQP, OPC UA) and with M2M as well as Cloud Technologies
- Good Knowledge of the following languages: R, PMML
- Knowledge of different databases (ORACLE, MSSQL, MySQL, etc.)
- Knowledge of event driven architectures and programming as well as BigData solutions
- IT support and customer facing experience
- Willingness to travel and work globally
- Knowledge of specific IoT platforms and predictive analytics preferable
- Ability to work in a fast-paced, diverse global environment
- Excellent oral and written English communication skills are essential (Good knowledge of German would be an advantage but is not necessarily required)
- IT support and customer service experience is a plus
- A sustainable job in a global environment
- Well-defined career and personal development opportunities in wide range of technology areas
- Fun and comfortable working atmosphere
- Regular training and team building events
23
Advanced Analytics Enablement Cognitive Senior Consultant Resume Examples & Samples
- At least 6 months experience in Natural Language Processing (NLP), Linguistics, Advanced Semantic Design, Visualization
- Bachelor's Degree in Engineering, Mathematics, Emperical Statistics or 4 years equivalent professional experience
- Willingness to travel to client locations (80%-100%)
- Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) Frameworks to process end to end data management life cycle for NLP, Machine Log Algorithms, and Text Mining algorithms
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FS Analytics Senior Consultant Resume Examples & Samples
- Possess a blend of banking acumen, consulting expertise, and analytical capabilities, creating value and insights for our clients
- Ability to work in an environment with hard deadlines, quick turnaround, and changing priorities with minimum supervision
- Exceptional analytic and critical thinking skills
- Independent problem solving skill
- Excellent verbal and written communication skills in Greek and English related technologies
- BSc and MSc from a Top University, preferably in Engineering, Economics or Finance, Mathematics/ Statistics, Data Science, Computer Science
- Extensive experience in SQL and in statistical packages like SAS, R, MATLAB etc
- Minimum of 4 years of increasing experience in FS industry
- Experience in advanced modeling techniques. Strong understanding of statistical concepts and predictive modeling (e.g., propensity modeling, machine-based learning, etc.)
- Excellent Expertise in Microsoft suite (including advanced Excel skills with embedded Pivot Tables & Macros; advanced PowerPoint usage)
- Experience in management consulting
- Experience in Big Data technologies
- Experience in scripting languages like Python etc
- Experience in Data Visualization tools (ie SAS VA, QlikView, Tableau etc.)
- Experience in Information Technology related field preferably with Data Warehousing, Business Intelligence, Data Architecture or Data Integration
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Senior Consultant, Loyalty Analytics Resume Examples & Samples
- Provide assistance in developing and scaling up the practice by participating in client development activities, new content / POCs / solutions generation, conducting domain / technical trainings etc
- Should have hands on experience in analytics delivery, through the entire life cycle of an analytics engagement
- Should have experience of leading teams of analysts / modelers and managing relationships with working level clients on his/her own
- Should be open to travel to client locations in India / abroad for short / long term duration depending on the project requirements
- Minimum 2-4 years in Financial services domain (Acquisition, Activation, Engagement, Attrition, Winback etc)
- Key technical skills: SAS, R, predictive modeling
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Advanced Analytics Senior Consultant Resume Examples & Samples
- Execute advanced analytics projects including data mining and predictive analytics
- Participates in advanced analytics projects to include: setting project goals, scope, approach and timeline. You will manage individual analyses, provide clear communications of findings and recommendations, and develop final deliverables
- Contribute to deliverable content through financial modeling and analysis. Works independently to structure analyses and develop insights. Organizes materials to facilitate reviews, quality checks, and presentation of findings. Presents findings to project leadership and/or Firm leaders as required
- Develops presentation materials. Works with team to develop presentations to Senior Leadership
- Demonstrates strong business acumen and understanding of finance concepts
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Business Intelligence & Analytics Senior Consultant Resume Examples & Samples
- Ongoing assessment of the enterprise Business Intelligence & Analytics (BI&A) landscape
- Bachelor's degree in Management Information Systems, Economics, Finance, Statistics, Computer Science, or other related field
- 4+ years of hands on experience with business intelligence and analytics tools such as Tableau, Aleryx, Qlikview, IBM Cognos, SAS, Business Objects, R, ,R-Shiny, Python, etc
- Knowledge of data warehouse design and usage
- Experience with agile BI project delivery methodology
- Intermediate level SQL skills highly desirable
- Training material creation and delivery
- Natural curiosity with a strong desire to learn, maintain, and apply knowledge of emerging BI&A tools, strategy, methodology, and general best practices
- Comfortable working independently and collaboratively in an ambiguous environment on multiple concurrent projects
- Highly analytical person with exceptional conceptual thinking skills equally comfortable coding and interacting with business partners
- Outstanding verbal and written communication skills, with an ability to express complex technical concepts in business terms to effectively interface with all levels of management
- Entrepreneurial spirit - self-motivated, strong sense of ownership/accountability, and results oriented with the ability to manage time and schedules effectively
- Proven negotiation and influencing ability
- Customer focus: Strives to give customers the best service and takes the initiative to add value
- Data Analysis- Input, understand, analyze and act on data
- Business Owner Mindset- Operate with keen business knowledge, expense, risk & controls driven mindset
- Communication- Influence through a consultative approach
- Growth & Development- Maximize development of self and others
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Analytics Senior Consultant Resume Examples & Samples
- Contributes to a culture of innovation taking calculated risks and continuously improve skills, efficiency and quality of work products
- Strong knowledge of core functions of an insurance company and general insurance; in depth knowledge of P&C risks, including underwriting, reserving and reinsurance
- Strong project management, organization and planning skills with the ability to manage multiple projects effectively
- Bachelor's Degree in a relevant discipline, or equivalent. Preferred credentials include ACAS/FCAS or MS/MBA
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Analytics Senior Consultant Resume Examples & Samples
- Designs, writes, and tests computer programs to extract and analyze data, to build models, and to support implementation
- Demonstrated technical excellence in statistics and data science
- Proficiency with classical statistical models such as logistic regression and other GLMs
- Drive to continuously improve
- Drive to focus on meaningful deliverables that impact the bottom line
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Senior Associate Analytics Consultant Resume Examples & Samples
- Design and develop big data assets and services to support a broad range of analytics and reporting including source data ETL strategy, data movement and aggregation as well as data quality strategy (30%)
- Analyze and evaluate new data sources for utility and quality, integrate with internal sources to support research or analytics, and build repeatable processes (20%)
- Collaborate across the Epocrates core business to guide and execute ad hoc analyses related to key initiatives. (20%)
- Conduct univariate and multivariate analytical projects to identify key opportunities, make recommendations for additional quality programs and analytics. (30%)
- Bachelor’s or advanced degree in economics, finance, computer science, business, or a similar quantitative field
- Experience working with large datasets, and strong interest in deep data analysis
- Experience in at least one data extraction language (e.g., SQL) plus one programming language (e.g., Perl, Python, C/C++, Java) or a higher level language (e.g., R, SAS)
- Experience with big data technologies (e.g., HADOOP, Hive, Spark, and NOSQL) a plus but not required
- Proficiency in additional support tools: WebEx, SharePoint, Salesforce, NetSuite
- Demonstrate a high degree of customer service/relationship building abilities
- Strong negotiation and problem solving skills
- Ability to influence both horizontally and vertically inside and outside of athena
- Experienced, confident presenter to all audiences
- Ability to prioritize and to multi-task in a face paced environment, manage several projects simultaneously, meet deadlines, and communicate potential conflicts to manager
- Ability to work independently as well as part of an extended, cross-functional team
- Ability to be an effective team member and display initiative and flexibility in team goal orientation in a fast pace, ever changing environment
- Ability to be flexible and change with environment, industry, and business demands
- Ability to formulate hypotheses, draw conclusions and deliver results
- Sense of humor and effective interpersonal communication skills
- Healthcare experience is not required
- Experience in applying quantitative analysis to business operations is a plus but not required
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Data Analytics Senior Consultant Resume Examples & Samples
- Working with clients to develop coherent and structured analytics strategies which address their business challenges, identify additional opportunities, and set out roadmaps for the delivery of continued value through analytics
- Clearly articulate to stakeholders the value and benefits analytics can bring to clients
- Develop thought leadership in this space
- Create, manage, and utilize high-performance relational databases (SQL Server, Oracle, Microsoft Access, OLAP, and other proprietary software)
- Systematically scope, acquire, load, validate, and maintain structured (e.g., transactional) and unstructured (e.g., text) electronic data as the basis for employing rules-based, inductive, and visual techniques
- Structure, define, and complete ad-hoc, periodic, and ongoing analytics to identify patterns or scenarios, develop models that depict or describe historical events, and build predictive models for the purposes of business enhancement
- Find innovative ways to search and mine large data sets to discover meaningful patterns, trends, and relationships among large amounts of data and to identify the success measures, analyses, and reporting processes that lead to actionable findings
- Lead the preparation and presentation of complex written and verbal materials including reports, findings, presentations, and project planning
- Possess knowledge of and be able to effectively employ advanced analytic tools which utilize visualization (QlikView etc.), predictive modeling, case management, data cleansing, etc
- 5+ years of hands-on technical experience mining and analyzing transactional electronic data with a strong working knowledge of relational databases, including advanced experience with query building
- Exposure to advanced analytics concepts such as predictive analytics or machine learning
- Strong command of data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design, data modeling, reporting process metadata, and ETL processes
- Experience designing and developing data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking, and matching
- Expertise in building data visualizations with a strong understanding of the appropriate chart types to use to highlight patterns in the data
- Experience in data modeling, analysis, design, testing, development and implementation
- Experience publishing dashboards and data sources as well as managing access, user security, and refreshing of QlikView Data files / extracts
- Demonstrated ability to communicate effectively to management
- Demonstrated ability to balance multiple projects with the strong ability to properly delegate and meet deadlines
- Education: Bachelor's degree (BS or BA)
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Digital Audience Analytics Senior Consultant Resume Examples & Samples
- Serve as an integrator between business needs and technology solutions, helping to create technology solutions to meet clients’ business needs
- Responsible for the design and implementation of DMP solutions that deliver on customer’s business and functional goals
- Possess strong analytical skills and demonstrable experience designing and managing DMP solutions
- Work with marketing and business stakeholders to develop test cases and help them understand the insights and optimization opportunities
- Assess and evaluate the current offerings within the DMP landscape, providing POVs on the current state of the marketplace
- Bachelor’s degree; MBA preferred
- Two+ years in onsite functional or technical roles on at least four full-lifecycle projects, with strong implementation expertise in at least two of the following technologies
- DMP’s (Adobe Audience Manager, BlueKai, etc.)
- DSP’s (Adobe Media Optimizer, DoubleClick, Media Math)
- Experience with ad technology (DMPs, DSPs, Ad servers, Ad Exchanges, Cross-Device Tracking platforms, etc…)
- Experience with inventory management platforms that overlay ad-serving systems or experience with data-targeting platforms and ad delivery
- Experience with Doubleclick or other relevant ad-serving tools
- Experience with data onboarding solutions
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Dir / Senior Consultant Analytics Solutions Resume Examples & Samples
- 5+ years experience in developing and supporting data and analytics-based customer engagements
- Customer-facing experience – product , sales, or analytics
- Moderately-strong analytic skills – model usage and validation, data analysis, strategy design
- Strong written, oral and presentation skills to address and influence customers, peers and senior leaders
- 2-3 years of experience in Data or Analytic Sale Support preferred
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Senior Advanced Analytics Consultant Resume Examples & Samples
- Understanding of the current market dynamics and implications for our clients and their brands
- Working with clients to understand and identify their key business questions with regards to Trade/Media Spend Optimisation
- Advising on development of proposals and project scopes based on client need
- Analysis of model outputs to deliver consultative recommendations
- Support our clients in their strategy planning – via strategic analysis and simulator tools
- Presenting client debriefs to senior level stakeholders
- FMCG industry experience
- Strong analytical capability
- Excellent communication skills, ability to read others’ styles and adapt behaviour accordingly
- Ability to articulate technical information in a simple, impactful way
- Ability to operate and influence across various levels and stakeholders in the organisation
- LI-GB
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Senior Forecasting Analytics Consultant Resume Examples & Samples
- Consult with Forecasting, Merchandising, Supply Chain, and others to lead process improvement initiatives
- Perform predictive data modelling & statistical analysis to draw insights which impact business results
- Design & build tools or reporting with visualizations that surface insights effectively and enable actions to be taken efficiently
- Program data warehouses and statistical computing suites (includes knowledge of SQL, VBA, and R)
- Ensure the timely and accurate delivery of reporting, with an emphasis on providing useful insights
- Ensure the forecasting systems (e.g. JDA) are operational and support the business processes
- Manage multiple work requests – these initiatives can range from ad-hoc analysis requests, urgent system/tool support issues, or medium-scale process improvement initiatives
- 4+ years of work experience with various roles in forecasting, financial analysis, supply chain, or merchandising
- University degree or equivalent in Engineering, Math, Logistics, Business or related field
- Strong analytical, problem solving, and data mining skills with the ability to summarize and deliver actionable insights or recommendations
- Programming and analysis using SQL, VBA, and R
- Superior technical/PC knowledge (Access, Excel, Database systems)
- Experience with JDA Forecasting & Replenishment Systems
- Effective written and verbal communication skills, including presentation abilities
- Familiarity with CTC supply chain and merchandising policies, procedures and systems
- Self-motivated with the ability to work in a dynamic environment
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Senior Analytics Consultant Visualization Expert Resume Examples & Samples
- Designing and developing premium technical solutions to deliver company products and services to clients
- Highly iterative business centric delivery model required
- Managing and meeting delivery milestones
- Providing expert technical advice and guidance to project team members, client stakeholders, and our staff
- Contributing positively to our team culture and the practice
- Technical Emphasis in the following: Tableau Desktop, Tableau Server, Alteryx Designer (Certifications preferred, but not required)
- Strong knowledge of data architecture, traditional and big data
- Best candidates have geospatial and predictive analytics experience
- Strong quantitative analysis skills, ability to interpret analytical results and present findings
- Retail experience preferred
- Healthcare experience nice to have
- Manufacturing experience nice to have
- Strong English communication skills (verbal and written) with an ability to communicate with internal and external customers. This can include communicating technical information to nontechnical audiences
- Ability to work collaboratively, be diplomatic and influence stakeholders, vendors and global teams
- Strong logical, analytical and organizational skills with meticulous attention to detail and the keen ability to anticipate and avoid problems
- Strong tenacity and ability to overcome barriers due to technology, process, or people
- Strong customer and user experience focus with the ability to manage complexity and ambiguity
- Broad technical knowledge including relevant industry trends, flexibility and adaptability in regards to learning and understanding new technologies, and a solid understanding of the software development lifecycle
- Bachelor’s degree in Computer Science, Math, Statistics, Business Finance, Accounting or other relevant program is required
- A Master’s degree in Business Administration, Computer Science or related IT fields is desirable
- 5+ years of related experience working with Business Analytics and Business Intelligence strongly preferred
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Senior Applied Analytics Consultant Resume Examples & Samples
- Building hybrid analytic solutions that blend techniques such as cost/benefit analysis, financial analysis, forecasting, trade analyses, statistics, economics and visualization
- Lead meetings with client stakeholders
- Query and mine large data sets to discover patterns, examine data and filter for targeted information using appropriate techniques
- Use advanced business analysis and appropriate analytic tools to support development and presentation of results through visualization and scenario generators
- Help establish standards in analytics to ensure consistency in quality across projects and teams and identify relevant work processes
- Work with and within cross-functional teams to identify appropriate business solutions to client challenges
- Maintain good working relationships with clients to enhance customer satisfaction and work with client management and staff to perform engagement services
- Assist with business development activities, such as proposals, capture, whitepapers, and/or other thought leadership materials
- Knowledge of data visualization tools such as Qlik, Tableau, or Microsoft Power BI
- 5 years minimum experience developing performance metrics for the federal govt
- 3 years minimum experience planning and implementing Tableau-based dashboards
- Preferred experience with real estate and facilities
- Strong customer focus with the ability to work with technical teams and business users
- Educational background in quantitative field such as economics, finance, statistics, mathematics preferred
- Ability to work independently or as a member of a project team
- Ability to obtain and maintain certain job-related certifications if no job-related advanced degrees
- Ability to sit in an office environment for long periods of time
- Ability to obtain and maintain firm independence and abide by firm ethics requirements
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Senior Consultant, Bslr Analytics Resume Examples & Samples
- Deliver accurate, timely and analytical reporting from the Kamakura (KRM) risk engine in the form of business reports, risk oversight reports and regulatory submissions
- Effectively communicate findings, insights and recommendations to senior stakeholders. Provide advice to senior stakeholders (including 'Heads of' Risk and Treasury, General Manager and Chief Risk Officer)
- Work with HO BSLRA (and other stakeholders when required) to develop and maintain an effective operating environment
- Assist in ensuring that BSLRA improvement initiatives are implemented and maintained as part of business process maturity
- Whilst there are no direct reports, the role does provision for mentoring and coaching peers within GBSLR
- Previous experience managing and reporting Liquidity Risk and or Interest Rate Risk is highly desirable
- Understanding of business and economic issues, including business operating cycles
- High level of communication skills, proven problem solving skills, time management and coaching skills
- Conflict resolution, negotiation and presentation skills
- A tertiary qualification in finance/accounting or Information systems is desirable as well as a Masters or further study in Financial Risk Management
- Ability to make sound decisions in demanding situations
- Proven ability to recognise risks, trends, key issues and early warning signals and to communicate same to affected senior stakeholders and forums
- Strong level of effective communication skills (written and verbal), problem solving skills, PC literacy and time management skills
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Senior Consultant, Customer Analytics Resume Examples & Samples
- Manage end to end project delivery with project teams and build client relationship
- Build a team of skilled and motivated consultants to deliver large data-based projects to the financial services clients; outline goals, conduct the performance review and appraisal of the team and coach employees
- 4-6 years of relevant Analytics' experience with focus on problem solving and advanced analytics solutions
- Exposure to big data tools/technologies like Hive/Scala/Impala/Spark will be a plus
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Senior Consultant, CPG Analytics Resume Examples & Samples
- Experience in delivery/account management in a data analytics environment
- Strong business acumen and ability to translate data insights into meaningful business recommendations
- Exposure to Customer insights research/ analytics would be an added advantage
- Technical mastery in tools such asR and Tableau/ Microstrategy/ Spotfire/ Business Objects
- Experience with R/Modeling/Machine Learning is a plus
- Exposure to Bayesian modeling techniques is a plus
- Experience with Microsoft Word, Excel (including VBA), PowerPoint applications
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Digital Analytics Senior Consultant Resume Examples & Samples
- 4+ years’ experience in consulting and/or implementing solutions leveraging a combination of web analytics /digital analytics /customer data analytics, online/interactive marketing, statistical modeling, CRM program implementation, marketing performance measurement, and/or customer strategy
- Deep experience in one or more of the following: digital analytics and optimization, statistical modeling, consumer insights, marketing analytics
- Strong knowledge of analytical methodologies for optimizing and evaluating customer campaigns (i.e., segmentation, predictive response models, etc.) as well as a strong knowledge of online marketing and/or CRM best practices
- Experience with Digital Analytics tools (Adobe Analytics, Google Analytics), Tag Management Solutions (Ensighten, Tealium, GTM), A/B & MVT Solutions (Target, Optimizely, Sitespect)
- Experience with data manipulation tools (VBA/Excel Macros, SQL, SAS, SPSS, S-Plus, R, etc.)
- Experience managing at least two large-scale full-life cycle implementations of Digital Analytics solutions, including ownership of the technical solution, management of the overall team and ownership and management of project financials
- Experience defining analytics strategy, developing analytics requirements, designing and prototyping, testing, training, defining support procedures, and implementing practical business solutions under multiple deadlines
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Senior Consultant, Advance Analytics Resume Examples & Samples
- Responsible for leading delivery and day to day management of small to mid-sized teams
- Provide assistance in developing and scaling up the practice by participating in client development activities, new content / POCs / solutions generation, conducting domain / technical training etc
- Should have experience of leading teams of analysts/modelers and managing relationships with working level clients on his/her own
- Expected to have 4-5 years of work experience in developing and deploying sophisticated analytical solutions
- Strong Ability to gather business requirements, design and create analyses
- Hands on experience on any of the Data Visualization tool - Qlikview/Tableau
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Senior Advanced Analytics Consultant Resume Examples & Samples
- Machine Learning and Data Mining methods and algorithms with some technology (e.g. SAS, R, Python, SPSS Modeler)
- Leading an Analytics project through its lifecycle
- Industry knowledge to understand clients’ business problems and how to solve them
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Senior Datawarehouse & Analytics Consultant Resume Examples & Samples
- Support and diagnosis on existing database installations
- Assessing and reporting development progress against project plans
- Designing, implementing and supporting Business Intelligence solutions
- Supporting and mentoring less experienced colleagues
- Good experience in at least some of the following BI tools: IBM Cognos 8/10/11 suite, IBM Cognos Report Studio, IBM Cognos Framework Manager, IBM Cognos Analysis Studio, IBM Cognos Metric Manager, IBM Cognos Query Studio, IBM Cognos Workspace Advanced. IBM Cognos Data Manager/Decision Stream, Infosphere Datastage
- Database Skills: SQL Server, Oracle, DB2
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Dat & Analytics Senior Consultant Resume Examples & Samples
- Assess and translate complex business issues into structured analytics use cases for clients in multiple industries
- Participate in client analytics projects and data mining and validation
- Develop effective work stream plans and problem-solving approach to design, construct, and rapidly test exploratory analyses to provide insights and opportunities clients
- Build analytics solutions using a multitude of big data technologies and analytics tools and create documentation of solutions and underlying design decisions as well as operating procedures
- Escalate project risks, budget vulnerabilities on client projects
- Design and develop high performing database and data integration applications to meet the business needs of the client
- Bachelor’s degree in Management Information Systems, Computer Science or relevant experience
- 3+ years of practical work experience in a related consulting role
- Highly proficient in reading and writing SQL queries
- Strong database knowledge and experience in data warehouse development
- Proficient in data integration and data transformation techniques
- Experience in advanced analytics and statistical tools (R, Python, SAS, SPSS) a plus
- Experience in Big Data technologies (Hadoop, MongoDB, etc.) a plus
- Ability to understand and document operating procedures
- Excellent analytical, problem-solving, and root cause determination skills
- Action-oriented, decisive approach to work required, with the willingness to take a hands-on role to ensure the deliverables are met on time with high quality
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Data & Analytics Senior Consultant Resume Examples & Samples
- Model, visualize and communicate to clients regarding data science and big data
- Develop automation routines to keep analytics systems regularly updated and refreshed with minimal manual intervention
- Develop and conduct testing protocols to ensure quality assurance of output
- Highly proficient in in visual analytics tools such as QlikView, Cognos, PowerBI, Tableau, Information Builders
- Experience in documenting system requirements including data flows and procedures
- LI-KK1
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Data Analytics Senior Consultant Resume Examples & Samples
- Experience working directly with business users to gather requirements
- Experience drafting functional and technical specifications and documentation
- Familiarity with the software development lifecycle (SDLC)
- Exposure to any of the following Analytics and Information Management competencies –Data Management and Architecture, Performance Management, Information Delivery and Advance Analytics
- Able to work directly with clients to explain how analytics will help solve their complex problems
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MCM Analytics Senior Consultant Resume Examples & Samples
- Leverage understanding of multi-channel marketing data (database marketing activities, digital marketing, e-detailing, direct mail, email, mobile marketing etc) to design profitable MCM campaigns
- Hire, train, coach and manage junior team members
- Provides direction and guidance to Analysts, Consultants, and where relevant, to Statistical Services assigned to engagement
- Gather project specifications and manage client expectations
- Determine relevant quantitative methods for solving client business questions
- Develops project plan with timelines and deliverables and leads project to successful completion, on-time and on-budget, from start to finish with limited senior management guidance
- Manage project scope, revenue and profitability across onshore/offshore resources
- Responsible for delivering high quality projects and client satisfaction
- Identifies and leverages new analytic technologies and approaches to drive efficiency and enhanced analytic outputs
- Deliver clear, concise results and recommendations to clients and business partners
- Proactively develops an expert knowledge of advanced analytical methodologies and the life sciences market through the delivery of analytical engagements and participation in formal and informal learning opportunities
- Contribute to QuintilesIMS Request for Proposals (RFPs) by providing case studies, examples or client interviews
- Master’s degree in statistics, math, economics or other quantitative fields with experience as following in executing or leading MCM analytics assignments in life sciences industry
- Significant hands on experience with R, SAS, SQL, Tableau, Microsoft Excel and PowerPoint
- Significant experience in developing statistical models (marketing mix, promotion response, predictive) and making recommendations on optimal budget allocation across digital and traditional channels
- Experience designing, deploying and analyzing in-market tests to generate insights and optimize MCM campaigns
- Experience conducting ROI Analyses for MCM programs
- Experience creating insights and recommending campaign optimizations from MCM data
- Experience using pharmaceutical data such as IMS datasets (Xponent, APLD, DDD, HCOS etc) and promotion data preferred
- Polished oral and written communication skills
- Experienced with developing consultative relationships with senior level managers and executives at clients in the life sciences industry
- Possesses the necessary subject matter expertise and project management skills able to effectively manage projects across more than one client
