Analyst - Omnichannel Analytics

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 colleagues who care deeply, innovate with purpose, hold themselves accountable and prioritize safety and quality in everything they do. The Omnichannel Analytics team is responsible for providing visibility into digital performance to help shape and accelerate CVS Health's digital growth strategy. As an Analyst on this team, you will partner closely with leaders and cross-functional teams across Retail to deliver actionable insights that drive business decisions. This role combines technical analytics expertise with business storytelling, requiring you to transform complex data into meaningful recommendations. You will be responsible for developing partner-facing reports and dashboards, writing complex SQL queries, analyzing test results, and uncovering insights across various digital and order channels. Key Responsibilities Support the development and execution of the Omnichannel Data Strategy. Create and maintain partner-facing reports, dashboards, and visualizations to provide visibility into business performance. Write complex SQL queries and perform data cleansing to support reporting and analysis needs. Conduct ad hoc analyses and respond to data requests from business partners across the organization. Assist with short- and long-term projects, including test design, A/B testing, performance measurement, and results analysis. Support the enhancement and maintenance of the self-service reporting ecosystem. Partner with teams across Data Strategy, Data Engineering, Data Science, and other analytics functions to improve processes and reporting capabilities. Monitor and analyze daily, weekly, monthly, and annual digital performance metrics and key website KPIs. Communicate findings, trends, and recommendations to stakeholders through presentations and reporting. Explore new data sources and analytical approaches that deepen understanding of customer behavior and business performance. Ideal Candidate The ideal candidate is curious, data-driven, and comfortable working across both technical and business environments. They enjoy uncovering insights from data, building scalable reporting solutions, and translating analytical findings into recommendations that support strategic decision-making. Required Qualifications 1+ years of hands-on experience in data analysis using tools such as SQL, Python, Snowflake, or similar technologies. 1+ years of experience in an analytics role, driving business insights and delivering measurable outcomes. 1+ years of experience developing data visualizations, dashboards, and reports. 1+ years of experience designing, executing, and analyzing A/B tests. Strong analytical, problem-solving, and critical thinking skills. Ability to communicate complex findings to both technical and non-technical audiences. Preferred Qualifications Experience collaborating across multiple business units and cross-functional teams. Experience with advanced analytics methodologies and statistical analysis techniques. Exposure to statistical modeling and predictive analytics. Experience working with cloud-based data warehouse platforms. Strong presentation and data storytelling skills with the ability to influence business decisions through analytics. Benefits 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. Job Data by YubHub .