
10,000+ employees
Founded 1963
⚕️ Healthcare Insurance
🛒 Retail
🧘 Wellness
Healthcare Insurance • Retail • Wellness
CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.
🔥 20 hours ago
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10,000+ employees
Founded 1963
⚕️ Healthcare Insurance
🛒 Retail
🧘 Wellness
Healthcare Insurance • Retail • Wellness
CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.
• Developing and executing category pricing strategies, including Reg/Net positioning, KVIs, price ladders, and geographic pricing • Translating business objectives (margin, share, acquisition, basket growth) into pricing plans with defined targets and performance metrics • Own competitive pricing position and Water Level (WL) strategy, including benchmarking, elasticity-based pricing decisions, and price adjustments • Apply advanced analytical methods (machine learning, demand forecasting, price elasticity, optimization) to inform pricing decisions • Design, execute, and evaluate pricing experiments (e.g., A/B testing) to measure impact and refine strategies • Analyze large datasets using SQL-based tools (e.g., Snowflake) and interpret model outputs, forecasts, and performance metrics • Partner with Data Science, Product, and Engineering to deploy and scale pricing models and decision tools • Own category performance, including margin, price competitiveness, market share, forecast accuracy, and customer acquisition outcomes • Identify performance drivers and deliver data-driven recommendations to improve business results • Lead implementation of pricing tools, platforms, and process improvements to replace legacy methods • Lead and develop a team of pricing professionals, including performance management and capability building
• 8+ years of experience in pricing, retail merchandising, revenue management, or financial analytics • Strong understanding of retail pricing dynamics, promotions, and front store category management • Proven ability to balance margin performance, competitive pricing, and customer value • Advanced analytical skills; strong proficiency in Excel • Ability to influence cross‑functional partners and communicate effectively at all levels, including senior leadership • Prior people management or informal team‑lead experience • Demonstrated experience applying statistical modeling, demand forecasting, price elasticity, and optimization techniques to drive business outcomes • Experience working with large datasets, including querying and analyzing data using SQL-based platforms (e.g., Snowflake or equivalent) • Experience interpreting machine learning or predictive model outputs and applying results to business decisions • Demonstrated understanding of experimental design, execution, and evaluation of results (e.g., A/B testing) to measure impact and refine strategies • Proven ability to present analytical findings and influence Director- and VP-level stakeholders • Experience managing teams, including hiring, performance management, and talent development • Experience partnering with Data Science, Product, and Engineering teams to deploy analytical or data-driven solutions • Experience using AI or advanced analytics tools in support of data analysis, reporting, or decision-making.
• medical, dental, and vision coverage • paid time off • retirement savings options • wellness programs • other resources, based on eligibility
Apply Now🕒 4 days ago
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