Manager, Advanced Analytics Job Description
Manager, advanced analytics
provides technical design expertise to build highly scalable parallel analytics and machine learning algorithms, running on Aster’s MPP platform, using its Java and C function APIs.
Manager, Advanced Analytics Duties & Responsibilities
To write an effective manager, advanced analytics job description, begin by listing detailed duties, responsibilities and expectations. We have included manager, advanced analytics job description templates that you can modify and use.
Sample responsibilities for this position include:
Working with key business partners to determine how the Marketplace Insights group can best support the delivery of business objectives
Build strategic partnerships to enable a world class analytics delivery platform
Demonstrate flawless execution of all projects and activities required to drive success for the front office process area (on-time, budget and scope)
Have or Develop expertise in distributed systems (HPC and Big Data), visualization, machine learning, and data management tools
Marketing mix modelling, predictive analytics and ROI analysis to generate insights that will drive revenue and share growth while optimizing spend for Janssen CNS/ID brands
Partner closely with the Senior Manager, the individual would lead large scale initiatives and manage vendors for successful delivery and deployment of projects
Given a business problem, structure and estimate analytical solutions
Extract credit and retail transaction data, conduct exploratory data analysis, and address common data issues like missing and extreme values
Translate business problems into statistical problems, and develop statistical models to support business needs, such as prospecting, retention, shopping-cycle, reactivation, and new account nurturing models
Document analysis processes and results, summarize data insights, and present key findings to internal external partners
Manager, Advanced Analytics Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Manager, Advanced Analytics
List any licenses or certifications required by the position: PMP, ITIL, IAPP, APICS, LEAN
Education for Manager, Advanced Analytics
Typically a job would require a certain level of education.
Employers hiring for the manager, advanced analytics job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Business, Finance, Science, MBA, Graduate
Skills for Manager, Advanced Analytics
Desired skills for manager, advanced analytics include:
Delivery
Process
Revenue models
Building analytics pipelines
Python
R
Machine learning
Modelling
Strong aptitude for quick learning business operational
Analytics landscape
Desired experience for manager, advanced analytics includes:
Derive customer insights through predictive modeling to address business needs, and recommend solutions
Research on state-of-art statistical analysis techniques to continuously improve Advanced Analytics teams competence within the analytics industry
A minimum of 3 years professional experience in building sophisticated models to address business problems via regression, segmentation, decision tree, time series, design of experiments and other multivariate analysis
Proficient in SAS and/or Matlab
Experience in Bank Card / Credit Card
Solid statistics and financial services business knowledge to identify and understand opportunities to implement analytical solutions to business problems
Manager, Advanced Analytics Examples
1
Manager, Advanced Analytics Job Description
Job Description Example
Our company is looking for a manager, advanced analytics. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for manager, advanced analytics
- Effectively manage all tasks, deliverables and project milestones
- Taking time to understand the organization and culture
- Building relationships with peer business partners and influence the integration of the facts and perspectives from external marketplace into their decision making
- Supporting his/her arguments with a combination of facts, analysis and logic tailored to the audience
- Create pricing analytics & framework to drive decisions
- Create standard reporting/visualization tools around Gross Margin including key performance drivers, monthly walks, and forecast and actuals variance analysis
- Standardize current SG&A processes to provide best in class modeling and reporting of SG&A actuals and forecasts including key performance drivers, monthly walks and forecast and actuals variance analysis
- Leverage internal systems to create and automate best in class reporting and visualization tools to influence strategic decisions of our Global Product and Sourcing teams
- Provide database guidance on how to best manage datasets and resources to deliver/exceed key business goals
- Blend business, analytics and technology to drive business solutions
Qualifications for manager, advanced analytics
- Advanced degree (Master’s or PhD) in statistics or applied mathematics or other quantitative field
- PhD in Statistics or Economics or other quantitative field (such as Engineering)
- Demonstrated experience in retail consumer loyalty marketing programs
- Ability to independently own a storyboard and determine best in class data visualization using Excel, Powerpoint, tableau
- Demonstrated ability to effectively manage all facets of the analytical project lifecycle (data discovery/exploration, hypothesis testing, code development, testing/validation, model deployment)
- MS in Statistics, Mathematics or related field
2
Manager, Advanced Analytics Job Description
Job Description Example
Our growing company is looking to fill the role of manager, advanced analytics. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for manager, advanced analytics
- Developing expertise across a broad array of marketing and decision science concepts, including database marketing, integrated channel marketing, and advanced analytics tools and methods
- Work with Sales VPs and Sr
- Develop the patient journey and conduct exploratory analysis with secondary data sources
- Responsible for establishing core advanced analytics capabilities in one of the Janssen business units
- Responsible for story development and presentations
- Develop the patient journey and conduct exploratory analysis with claims and patient data
- Support a robust suite of copay/out-of-pocket analytics
- Working with senior level business teams to identify and define actionable, high-impact analytics need and opportunity statements in a variety of areas across the enterprise
- Cultivating a culture of exploration and excellence
- Engagewith client on BAE solution and continually engage and consult with them on leveraging BAE to drive greater media ROI
Qualifications for manager, advanced analytics
- Associate or Fellow of the Casualty Actuarial Society (ACAS or FCAS) or equivalent international designation
- 8+ years experience in General Insurance
- Bachelors degree required in Finance, Accounting, or a quantitative field
- 7+ years of analytic experience working in CPG (FMCG), Retail, Banking, Consulting
- Experience in revenue generation, pricing, costing
- Fundamental understanding of how business, analytics and technology intersect to drive business solutions
3
Manager, Advanced Analytics Job Description
Job Description Example
Our company is looking to fill the role of manager, advanced analytics. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for manager, advanced analytics
- Provide on-going analytical leadership in regards to media/marketing mix modeling, attribution, and media optimization for clients
- Present to clients (and possibly prospective clients) on the value of BAE and ongoing results of deliverables
- Provide support in developing analytic responses to client strategic issues
- Communication skills to convert complex analytical processes into easily digestible communications is key for both research and non-research audiences
- Able to develop senior and junior analysts
- Proven ability to engage directly with clients is required
- Staff end to end projects and organizational initiatives led by the ACOE by identifying and assigning staff to global engagements, business development opportunities and approved investments
- Deploy staff in a manner that optimizes utilization and balances skill alignment to engagements and consideration for development needs of the team
- Build a thorough understanding of individual’s strengths and development needs for consideration in the effective deployment of Analytics resources
- Support the effective recruitment, development and retention of ACOE staff through the global training curriculum, in partnership with similar functional groups globally
Qualifications for manager, advanced analytics
- Exposure to, or experiene with Databases
- Team player with demonstrated ability to lead and influence others inside and outside of their direct-reporting lines
- Previous warehouse ownership, management and use across various environments are considered vital (Hadoop, DB2, Teradata and SQL)
- A strategic and analytical thinker who can translate their vision into an actionable plan
- Assertive, confident, and able to thrive in ambiguous situations
- Strong sense of accountability, drive and ability to deliver results
4
Manager, Advanced Analytics Job Description
Job Description Example
Our company is searching for experienced candidates for the position of manager, advanced analytics. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for manager, advanced analytics
- Track ACOE pipeline and implications for future resourcing requirements
- Support the development of market mix models that will inform the Company's initiatives to better predict and plan for marketing and promotional activity and the impact of pricing changes on the business
- Utilize advanced analytical methods to research more in-depth business situations, search for new / relevant key learning to improve the business and make specific and actionable recommendations to either build on current success or capitalize on new opportunities
- Supports / manage special functional ad-hoc modeling projects, such as Price and Promotion models, ANCOVA analysis for in-store / in-market tests
- Finds and recommends new uses for existing data sources
- Plans data collection
- Execute and evaluate appropriate analyses (predictive modeling, cluster analysis, collaborative filtering, ) given an array of tactical and strategic objectives
- SME in both analytical data sources and tools/methodologies
- Lead a team of 4-5 data modelers, prioritize work, coach team and build capabilities
- Oversee the operation cycle of an expanding set of high performing models (creation, scoring, validation, maintenance, modification) in support of consumer base management strategies
Qualifications for manager, advanced analytics
- Technical / systems knowledge, experience and capabilities required with direct exposure to Business Intelligence Applications, HR information systems, data visualization and reporting tools
- Hands-on experience with statistical and analytical software/tools (SAS, SQL, Enterprise Miner, Knowledge Seeker, CART,CHAID)
- High degree of personal integrity and sound judgment, with an ability to maintain confidentiality and utilize discretion while working with sensitive employee information
- Excellent communication (written and oral), presentation and storytelling skills Proven analytical capability and problem-solving skills with the ability to independently research, assess, interpret and validate data and to make connections with identified data patterns
- Excellent interpersonal and relationship skills, adept at managing through influence, with the ability to interact effectively with multiple partners across business units and at various levels within the organization (business, technical, senior and executive management)
- Experience with advanced human capital data & analytics High attention to detail and high standards for precision in deliverables and execution
5
Manager, Advanced Analytics Job Description
Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of manager, advanced analytics. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for manager, advanced analytics
- Work with large, complex, and generally messy data sets
- Bachelors in Software, Math, Statistics, Business, IT or Engineering is a must
- Masters (or MBA) in Software, Math, Statistics, Business, IT or Engineering is preferred
- Operations esp
- Prior consulting (or software) experience with a respectable Firm is highly preferred
- Call analytics (Nice, Verint, Nexidia or similar) experience is a strong plus
- Security/monitoring industry experience is good
- Drives an externally-oriented LS&Co
- Aids decision making through rigorous analysis that integrates knowledge from a spectrum of internal and external resources and from experience
- Collaboratively selects the appropriate metrics and technology solutions, based on business strategy & operations, needed to assess the current state of the workforce and define gaps against the future state
Qualifications for manager, advanced analytics
- Proven skills and experience using a variety of data management and data visualization techniques and tools (SQL, SAP Analytics, Tableau, Business Objects, Alteryx)
- Five years of experience providing financial data management services
- Experience in leveraging Data Acquisition, Transformation and Visualisation tools
- Undergraduate degree in analytics, economics, statistics, mathematics, or equivalent combination of training and experience
- Graduate degree in business, statistics or data analytics preferred
- Data science experience preferred - must be able to lead / work with a data science team