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CVS Health Digital Merchandising - Senior Analyst in Woonsocket, Rhode Island

Bring your heart to CVS Health. Every 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.

One of the many projects you could be working on:

  • Supporting the development and implementation of our Omnichannel Data Strategy

  • Foster the team’s migration from on prem data environments to cloud based

  • Supporting the innovation our Self-Service reporting ecosystem

  • Drive analysis and curate insights that impact and optimize how we interact with our consumers today.

  • Partner with Analytic Partners (Data Strategy, Data Engineering, Data Science, Data Products..etc) to constantly evaluate and improves how we do things today. This can be unlocking data/insights, creating powerful data sets, and partnering to develop tools or dashboard.

  • Be data curious, exploring new data that can help enhance our understanding of our consumers today.

    What we’re looking for from you:

  • You are a problem-solver at heart. You attack complex problems with techniques rooted in statistics and logic, and have a comfort translating technical analytics problems into simple business solutions.• You have a proven track record of leveraging data to influence cross-functional stakeholders, partners, and leadership to drive decisions• You can clearly articulate and communicate complex problems and solutions in a simple, logical, and impactful manner• Entrepreneurial with ability to work in a climate of ambiguity and deliver in a fast-paced environment

    Position Summary

  • The ideal candidate should be detailed oriented with the ability to quickly understand complex situations, manage multiple urgent tasks at the same time and have a proven track record of communicating in an open and honest way that quickly builds trust and respect.

  • Support the development, documentation, and maintenance of best-in-class foundational data assets through partnership with Data Engineering, Data Strategy, Analytic and Business Partners

  • Ability to translate business problems into analytical solutions.

  • Understand key drives of business value and being able to translate those into business opportunities.

  • Create meaningful presentations for senior leaders and internal partners.

  • Identify and resolve barriers to analytical initiatives.

  • Track to timelines to ensure timely delivery of solutions

    Required Qualifications

  • 3+ years of hands-on experience of data analysis, using any of quantitative analytics tool (SQL, Python, Snowflake etc.)

  • 3+ years of experience working in analytics, driving high impact analysis with a track record of delivering insights and business results

  • 2+ years of experience in developing tableau dashboards

  • 1+ years of experience in developing and implementing strategies

    Preferred Qualifications

  • Preferred a minimum of 3 years of experience in developing insights through analytics.

  • Experience working in an omnichannel team.

  • Strong problem structuring/solving skills – including data structuring, quantitative reasoning, and mathematical analysis to examine and interpret data

  • Microsoft Excel/PowerPoint for analysis and presentation of results.

  • Experience with wide variety of Advanced Analytics techniques; Statistical analysis including Statistical modeling experience is preferred

  • Experience with multiple data platforms including clouding base and terabyte level database

    Education

    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.

Pay Range

The typical pay range for this role is:

$43,700.00 - $107,200.00

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. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. For more detailed information on available benefits, please visit jobs.CVSHealth.com/benefits

We anticipate the application window for this opening will close on: 08/08/2024

We are an equal opportunity and affirmative action employer. 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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