Senior Manager, Marketing Loyalty

About the Role

Key Responsibilities

• Develop and improve CVS's promotion 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 of promotional campaigns.
• 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 Merchandising 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.
• Provide business insight supported by marketing analytics and statistical analyses.

Requirements

• Master's degree (or foreign equivalent) in Business Analytics, Data Science, Computer Science, Computer Information Systems/Sciences, Information Technology, or a related field.
• Two (2) years of experience in the job offered or related occupation.
• Experience with Python and XML.
• Experience with Oracle and SQL.
• Experience with PowerBI.
• Experience with Machine Learning, Statistical Analysis, and Predictive modeling.
• Experience in development of ERP to optimize operations, including analysis of financial KPI to support and inform business decisions.
• Knowledge of relational database concepts.
• Experience with data analytics on large data sets in healthcare, business, or retail sector.
• Experience with Extract/Transform/Load (ETL) processes.
• Experience designing data models and solutions for analytical and reporting use cases, including dashboard design for data visualization.

Qualifications

• Educational background as specified in the requirements (Master's degree or equivalent).

Benefits & Perks

• Full range of medical, dental, and vision benefits.
• Eligible for the company's 401(k) retirement savings plan.
• Employee Stock Purchase Plan.
• Fully-paid term life insurance plan.
• Short-term and long-term disability benefits.
• Well-being programs, education assistance, and free development courses.
• Store discount and discount programs with participating partners.
• Paid Time Off (PTO), vacation pay, and paid holidays.