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CVS Health Senior Analytics Consultant/Data Scientist in New York, New York

Job Description

About Our Team 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.Within the data science department (“Analytics & Behavior Change”), you’ll have the opportunity to drive the next level of Medicare product and service quality, and member experience at a leading national B2C healthcare brand. We’re looking for aspiring analytical enthusiasts to drive member engagement and behavior change in Aetna’s Medicare Business. You will use advanced analytics, predictive modeling, segmentation, and statistics and leverage business acumen and good data storytelling to help Aetna improve its members’ well-being and through its product and services.Medicare Member Analytics is one of the largest teams within the Analytics & Behavior Change department’s Consumer Analytics organization. Our team is organized by business verticals – Medicare STARS, Revenue Integrity, Optimization, Member Journeys, and CVS Activation. This role is within our Medicare STARS and CVS Activation verticals.About the Job In the Senior Analytics Consultant/Data Scientist role, you will have a chance to solve complex problems, extract actionable insights from petabytes of data and measure business impacts of efforts and initiatives to improve member experiences and product/services, all with great visibility to internal and external senior leadership teams. This is a hands-on role with a combination of technical coding, experiment design/statistical analysis and analytic consulting experience. The project will NOT focus on ML or predictive modeling. One of the many projects you could be working on:•Collaborate with business partners and leadership teams to translate and simplify ambiguous problems into logical frameworks which inform solutions to drive short and long-term business strategies•Perform analyses of large and complex data sets to solve multiple business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry•Investigate optimization opportunities within existing programs to drive values from different member population and/or communication channels•Develop predictive models and/or design experiments to test hypotheses and quantify impacts of improvement initiatives•Summarize results and create presentations to inform business partners and leadership teams of periodic results, optimization opportunities and/or remediation actions.

Required Qualifications

•3+ years of experience in SQL working with big data platforms (e.g. AWS, GCP, etc.) and multiple data sources •3+ years of experience in Python/R (Python is strongly preferred) to extract actionable insights from large and complex data sets and data visualization tools (e.g. Tableau)•3+ years of experience in statistical analysis, AB testing/experiment design and evaluation•3+ years of experience creating communication materials (e.g., memos, slide decks, etc.) and presenting to non-technical/analytics audiences

COVID Requirements

COVID-19 Vaccination Requirement

CVS Health requires certain colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, religious belief, or other legally recognized reasons that prevents them from being vaccinated.

You are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status or apply for a reasonable accommodation within the first 10 days of your employment. Please note that in some states and roles, you may be required to provide proof of full vaccination or an approved reasonable accommodation before you can begin to actively work.

Preferred Qualifications

•3+ years of experience in SQL working with big data platforms (e.g. AWS, GCP, etc.) and multiple data sources •3+ years of experience in Python/R (Python is strongly preferred) to extract actionable insights from large and complex data sets and data visualization tools (e.g. Tableau)•3+ years of experience in statistical analysis, AB testing/experiment design and evaluation•3+ years of experience creating communication materials (e.g., memos, slide decks, etc.) and presenting to non-technical/analytics audiences

Education

•Bachelor's degree in Business Analytics, Economics, Finance, Statistics, a quantitative field, or equivalent practical experience•Master’s degree in a quantitative discipline (e.g., Business Analytics, Economics, Finance, Statistics, etc.) preferred

Business Overview

Bring your heart to CVS HealthEvery one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

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