Senior Manager – Price and Value Innovation

Senior Manager Price & Value Innovation

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.

As a Senior Manager on the Price & Value Innovation team, you will contribute to developing holistic, customer-centric price and value strategies & plans that inspire customers to consistently choose CVS as their health and wellness retailer of choice. Our goal is to accelerate growth in sales units and customer trips. In this role, you will operate in an ambiguous, innovative environment.

Ability to learn quickly, think critically in white space will be critical to success. Senior Managers will partner with a team to drive a deep understanding of the CVS customer and their needs.

You will accomplish this by:

• Perform deep customer & market analyses to develop category specific business insights & recommendations to accelerate growth in sales units and customer trips.
• Build category level holistic, customer-centric price and value plans
• Perform customer analysis to identify customer segments, attributes and behavior patterns to find opportunities to improve regular prices and promo/coupon plans.
• Gather information to develop and improve marketing campaigns and analytics tools that support promotional activity for CVS Health.
• Develop and improve CVS's promotional analytics tools to support merchants and maximize the effectiveness of promotional activity across the chain
• Analyze market and business conditions in regional or online markets and aggregate relevant data to create reports and tools that provide key insights
• Understand data constraints and business requirements and deliver new tools or reports to meet those needs leveraging search marketing tactics and web metrics to increase visibility in target markets
• Manage large datasets and SQL-based processes that drive reporting and dashboards; optimize all collected and transformed data, ensure easy access and efficient runtime for processes and queries, and maintain the efficiency of data management and code scripts;
• Collect and analyze data on customer demographics and preferences to identify factors affecting demand and manage Tableau and Excel-based dashboards to track key performance indicators (KPIs) across Merchandizing categories;
• Oversee key legacy dashboards used across the Price Value department
• Review business requests for changes, and review design and technical execution of changes including coding, calculations, and visual representation
• Work with cross-functional teams including Finance, IT, and Marketing to solve problems, understand business requirements, and align outputs and processes with organizational goals; deliver recommendations to optimize promotional strategies for merchants and solve key business problems leveraging reporting capabilities and tools; and provide business insight supported by marketing analytics and statistical analyses.

• Degree in Business Analytics, Data Science, Computer Science, Computer Information Systems/Sciences, Information Technology, or a related field
• Minimum 8 years of experience in retail analytics or a related occupation.
• Ability to operate in an ambiguous, innovative environment, learn quickly and think critically in white space
• Retail basics (i.e., Category Management), and merchandising organizational structures and processes
• Mastery of Microsoft Excel and Power Point
• Analytical and problem-solving skills
• Minimum two years of experience and technical skills in each of the following:
• Python and XML
• Oracle and SQL
• PowerBI
• Machine Learning, Statistical Analysis, and Predictive modeling
• Development of ERP to optimize operations, including analysis of financial KPI to support and inform business decisions.
• Relational database concepts
• Data analytics on large data sets in healthcare, business, or…