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.A Brief Overview
Provides leadership and coordination of multiple analytics initiatives. Works closely with analytic partners and business stakeholders to develop solutions and deliver value.
What you will do
Want more jobs like this?
Get Data and Analytics jobs in New York, NY delivered to your inbox every week.
- Ability to translate business problems into analytical solutions, structure data analysis, driving analytics insights and analytical solutions to help data scientists determine the best analytical solutions.
- Understanding key drivers of business value and being able to translate into business opportunities and frame them as analytical problems e.g., how to grow business.
- Ability to translate business problems into analytical solutions by knowing appropriate models to suggest to data scientists.
- Develops strategy with cross-functional teams to define key business problems and formulate data-driven hypotheses for exploration.
- Develops advanced statistical models to derive actionable insights and make data-driven decisions.
- Communicates findings and recommendations to stakeholders in a clear and concise manner, using data visualization and storytelling techniques to facilitate understanding and drive action.
- Provides mentorship and guidance to junior members of the team, fostering their professional growth and supporting their development in decision science techniques and methodologies.
- Manages team performance through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional services and engagement, motivation, and team development.
- Stays updated with the latest advancements in decision science methodologies, machine learning, and statistical techniques, continually expanding knowledge and skills to enhance decision-making capabilities.
- 5-7 years work experience
- Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline
- Adept at problem solving and decision making skills
- Adept at collaboration and teamwork
- Adept at growth mindset (agility and developing yourself and others) skills
- Adept at execution and delivery (planning, delivering, and supporting) skills
- Adept at data science and AI skills
- Master's degree or PhD preferred
- Bachelor's Degree
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.