At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary
The Product Analytics team at Aetna, a CVS Health company, engages with a number of functional teams across CVS businesses to serve our members with better insurance products and to support our Sales teams in selling the right product to the right customer.Lead Decision Scientists play an instrumental role in building cross-functional coalitions, defining product roadmaps that drive forward the most impact and engage with our Data Science team to deliver the appropriate business solutions.To be successful in the role, Lead Decision Scientists need to excel in stakeholder management, consult with multiple business functions, recommend data-driven decisions to grow the business impact and ultimately deliver the solutions built by our Data Science team into the hands of our stakeholders.The ideal candidate will:
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- Apply experience from strategy consulting, and analytics to successfully act as the product owner for multiple analytics initiatives.
- Demonstrate strong ability to communicate both technical concepts and implications to business partners, and business drivers to data-science partners.
- Be regarded as a business specialist with deep content specific knowledge.
- Translate business questions into analytics frameworks using the language of Data Scientists.
- Anticipate and prevent problems and roadblocks before they occur.
- 4+ years of business experience leading analyses and initiatives with track record of business impact
- 7+ years total business experience
- 2+ years of stakeholder management experience
- 4+ years of experience with strategy consulting or on strategy teams in large companies
- 3+ years of experience programming using SQL and Python
- 3+ years in a consulting firm using data to solve for client engagement
- Experience in collecting user requirements and translating them into functional requirements for a data analytics solution
- Healthcare sector experience
- Bachelor's degree in quantitative field, or an equivalent combination of formal education and experience.
- Master's degree in quantitative field or MBA strongly preferred.
The typical pay range for this role is:$142,140.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
- Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
- No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
- Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.