Consultant, Data Analytics Job Description
Consultant, Data Analytics Duties & Responsibilities
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Consultant, Data Analytics Qualifications
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Licensing or Certifications for Consultant, Data Analytics
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Education for Consultant, Data Analytics
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Employers hiring for the consultant, data analytics job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Statistics, Economics, Mathematics, Engineering, Business, Finance, Math, Science, Technical
Skills for Consultant, Data Analytics
Desired skills for consultant, data analytics include:
Desired experience for consultant, data analytics includes:
Consultant, Data Analytics Examples
Consultant, Data Analytics Job Description
- Analyses to track both health risks and compliance which are critical means of managing long-term health costs
- Analyses to identify cost increases in medical services
- Analyses of practice patterns in relation to office visits, referral practices, and specialty care procedures to help identify strategies to control costs
- Pre-negotiation analysis to support development of defensible pricing strategies
- Measurement of the cost impact of various negotiation proposals to better forecast how pricing changes could affect the company's bottom line
- Works closely with OE staff and project teams to identify, extract and make available data and information that support performance improvement projects
- Researches innovative methodologies to address data needs of the department
- Prepares, analyzes and presents detailed clinical utilization, financial and other information to support the work (utilization rates, staffing levels, volume analysis, cost analysis)
- Being single point of contact regarding requirements
- Help in defining reports requirements
- At least 5 years experience in of the leading solutions for analytical marketing, including Unica, SAS Customer Intelligence, Teradata TCRM, Oracle Siebel Marketing or Chordiant
- At least 8 years experience in Using data analysis techniques to help business make informed decisions based on data insights and develop reports
- Demonstrated project management skills the ability to efficiently manage teams and resources
- Detailed knowledge of operations in industries and a strong understanding of business processes, including business operations, business delivery models and business revenue models
- Ability to facilitate a team to defined outcomes in a timely manner
- Experience with commercial analytics tools
Consultant, Data Analytics Job Description
- Proactively drives and supports the governance of business data to ensure data is consistent, accurate, available, and accessible
- Manage data quality projects and program execution of complex and/or critically important complexity
- Perform quantitative analysis of data issues and define business, customer, and analytical impact of bad data
- Develop benefit realization measurements and clearly define value post data quality remediation
- Facilitate and lead decision-making processes amongst diverse stakeholders
- Ability to translate technical requirements and deliverables to business capabilities to proactively communicate risks, issues and status to leadership and key stakeholders at multiple levels
- Helping in client reporting and data analytics needs
- Creating ORMB consulting assets for analytics
- Develop a deep understanding of reporting and visualization tools and software
- Reviewing client requirements for healthcare analytics tools/databases, translating them into specifications
- Strong working knowledge of commercially available analytical tools
- Strong knowledge of OLAP Analysis
- Database and Data Warehousing systems competence is expected
- Bachelor’s degree in Computer Science/IT/IS, Business, Math, Engineering Finance, Economics, Statistics or Accounting from an accredited institution
- Minimum 5 years’ experience data analytics (financial or non-financial)
- Advanced degree in Finance, Engineering, or Statistics focus
Consultant, Data Analytics Job Description
- Identify data extraction requirements and develop scripting logic to fulfill requests
- Work on big data analytics projects for federal clients
- Designing and executing the development of analytic soutions using a range of algorithms and tools as appropriate for the problem presented by the client
- Designing and implementing complex data models including both external and internal client data to facilitate analysis
- Maintaining detailed logs of information sources, assumptions and methodologies used in performing analytical tasks
- Interacting on a day-to-day basis with FTI team members, client personnel and advisors
- Preparing visualisations and written analyses, reports, or presentations
- Prioritizing relevant and meaningful business questions
- Reviewing and understanding the data in context to the business and how it changes
- Analyzing data and creating impactful visualizations to answer the business question
- Minimum 2 years’ experience in presenting data and reporting to senior leadership
- Initiative and drive to develop and improve business processes
- Experience working successfully across organizational and functional boundaries to solve problems and implement solutions
- Ability to quickly build relationships and gain trust with individuals at all levels
- End to End expertise with Tableau or Qlik at enterprise clients
- Specialization in architecting enterprise solutions with visualizations & data-discovery tools (Tableau, QlikV, Spotfire)
Consultant, Data Analytics Job Description
- Ensuring model stability and reliability by monitoring predicted to actual error rates
- Answering specific business questions quickly and reliably
- Communicating results in an audience appropriate manner using applicable metrics, visuals, actionable insights, recommendations and decisions
- Consulting project execution - wide range of technical application of MATLAB, including data analytics, statistics analysis, optimization, parallel computing and application development to assist customers in a variety of engineering disciplines
- Build Logical and Physical Data Models to meet the data ETL requirements of Integrated Data Platform
- Work on big data analytics projects for various federal clients
- Gain experience working on full lifecycle analytics projects using various analytics tools
- Leads and identifies short- and long-range data and analytics objectives related to targeted business objectives
- Creates files that include topics related to the industry, competitors, products, service innovations and trends
- Develops partnerships across the organization to define and implement experimental research designs and quantitative techniques using analytical tools
- Bachelor's Degree in a technical (computer science, statistics, math, ) or business discipline or equivalent technical expertise
- Quantitative analytical skills (Excel skills required
- Project management skills - Ability to design and lead dynamic projects that are complex and/or critically important
- Sound decision making skills and ability to conduct and communicate complex analysis
- Excellent (clear, confident, and persuasive) presentation skills
- An avid interest in the healthcare analytics and data
Consultant, Data Analytics Job Description
- Coordinates projects and program execution
- Designs test protocols and writes automation scripts for applications/devices (Sensors) contributing data
- Structures tests to ensure the release of the best possible product
- Is passionate about test driven development and a strong desire to learn new techniques and technologies
- Applies statistical analysis to testing research
- Coordinates with Machine Learning Engineers and Product Managers to collect and validate datasets
- Iterates and improves on the design of research-based validation
- Proactively identifies obstacles and recommends solutions affecting deliverables
- Coordinates with other stakeholders to capture requirements, analyze results, validate results and communicate findings
- Documents and maintains findings across research items with collaborative tools
- Deep understanding of predictive modeling
- Past experience with tools in the predictive analytics domain and planning tools
- Appreciation of underlying business fundamentals in the predictive maintenance area
- Knowledge in of the following areas, information architecture, application architecture and data architecture
- Undergraduate studies in mathematics, actuarial analysis, marketing research or related fields
- Typically eight years related experience with large data bases, analytical problem solving in a business environment, and with programming models and queries