Continuous Improvement and Data Analytics, Sr. Analyst

Job description

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. The Continuous Improvement and Data Analytics, Sr. Analyst is responsible for financial performance management, KPI governance, operational forecasting and continuous improvement for the CVS Middle Mile transportation network, including both Private Fleet and Dedicated (3PL) operations. This role enables high-quality financial, service, and forecasting performance across the network by establishing standardized KPI definitions, disciplined performance routines, and robust forecasting practices. The position ensures that transportation performance meets enterprise expectations across cost, service, and operational execution. Acting as a key business partner to the Lead Director, Private Fleet – Middle Mile Transportation and the Senior Manager Dedicated Transportation, the role supports 6 Private Fleet and 12 dedicated carrier operations. Primary accountability remains within the Private Fleet network and Dedicated Fleet Operations with visibility and performance alignment across the Middle Mile network. The position does not execute operations but is accountable for connecting operational decisions (routing, asset utilization, service execution) to financial and customer outcomes and ensuring a consistent view of performance across the network. This role also joins forces to identify and deploy continuous improvement opportunities. Required Qualifications -Minimum 2 years of experience in transportation, private fleet, or supply chain operations -Minimum 2 years semantic layer design in Snowflake or similar semantic layer design tool -Minimum 2 yrs of PowerBI development, or similar -Lean/Continuous Improvement experience -Programming and scripting skills (Python, SQL, or similar) -Experience in KPI governance, financial analysis, forecasting, and analytics -10% travel required Preferred Qualifications -Six Sigma Green Belt or better -Experience in multi-site retail distribution or logistics environments -Ability to operate independently and drive cross-functional accountability -Masters Degree Education -High School Diploma/GED Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $46,988.00 - $112,200.00 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. 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 people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments . We anticipate the application window for this opening will close on: 10/26/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.