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CVS Health Lead Analytics Consult. in New York, New York


Job Description:

It’s a new day in health care!

Combining CVS Health and Aetna was a ground-breaking moment for our company and our industry, establishing CVS Health as the nation’s premier health innovation company. Through our health services, insurance plans and community pharmacists, we’re pioneering a bold new approach to total health.

Want to help drive the next level of growth at a leading national B2C healthcare brand, touching millions of prospects and members? We’re looking for go-to-market leaders to drive innovation and growth in Aetna Medicare, using consumer marketing, sales, and product design that leverages data science and consulting skills to help Aetna acquire new members and retain our existing members.

Our Medicare Analytics team is integrated into all of Aetna’s go-to-market activities, including overall growth strategies, business case development, customer segmentation, product design, lead gen marketing (including geo and media mix planning, customer targeting, and impact measurement), lead conversion and broker sales, and member retention. We infuse data science into all growth analytics, powered by a world-class Hadoop cluster, petabytes of data, and the latest machine learning techniques. During Open Enrollment, our industry-leading Medicare War Room uses analytics and data science to drive continuous innovation and real-time optimization of all in-flight activities.



Job Group:

Data & Analytics

Full or Part Time:

Full Time

Supervisory Responsibilities:


Percent of Travel Required:

0 - 10%

Posting Job Title:

Lead Analytics Consultant

Additional Locations:

NY-New York

Primary Location (City, State):

NY-New York

EEO Statement:

Aetna is an Equal Opportunity, Affirmative Action Employer

Resource Group:


Fundamental Components:

  • Applies experience from strategy consulting, analytics, and data engineering to successfully act as the product owner for multiple analytics initiatives. Regarded as a specialist with deep content specific knowledge.

  • Consults with internal clients to identify opportunities to implement data science solutions to business problems at an advanced level.

  • Acts as an analytics product owner translating business needs into analytics projects and actions. Ability to structure data analysis, driving analytics insights and analytical solutions to help data scientists determine the best analytical solution.

  • Understanding key drivers of business value and being able to translate into business opportunities and frame them as analytical problems. eg how to grow business?

  • Ability to translate business problems into analytical solutions by knowing appropriate models to suggest to data scientists.

  • Understands and recommends modeling techniques to data scientists. Presents recommendations to senior staff and internal clients.

  • Mentors more junior team members. Shares insights across teams. Reviews work of more junior team members.

  • Autonomously leads the client relationship.

  • Leads development of solutions with high complexity and risk.

  • Consults on the creation of analytics solutions that effectively weigh business and technical tradeoffs using an advanced understanding of business strategy as well as relevant big data environment topics.

  • Acts as an analytics product owner translating business needs into analytics projects and actions.

  • Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.

Background Experience:

  • Minimum 7 years total business experience

  • 2+ years of people management experience

  • 4 years of business experience leading analyses and initiatives with track record of business impact.

  • 4 years’ experience strategy consulting or on strategy teams in large companies

  • 3 years’ experience programming using R, Hadoop, or Python

  • Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources.

  • Anticipates and prevents problems and roadblocks before they occur.

  • Healthcare sector experience preferred

  • Demonstrates strong ability to communicate technical concepts and implications to business partners.

  • Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas.

  • Bachelor degree in quantitative field, or an equivalent combination of formal education and experience.

  • Master's degree in quantitative field or MBA strongly preferred.

Benefits Program:

Benefit eligibility may vary by position.

Candidate Privacy Information:

Aetna takes our candidate's data privacy seriously. At no time will any Aetna recruiter or employee request any financial or personal information (Social Security Number, Credit card information for direct deposit, etc.) from you via e-mail. Any requests for information will be discussed prior and will be conducted through a secure website provided by the recruiter. Should you be asked for such information, please notify us immediately.

Clinical Licensure Required: