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. CVS Health continues to experience tremendous growth! The CVS Front Store Offer Strategy team incentivizes customers to consistently choose CVS as their go-to health and wellness retailer by delivering value and a highly relevant and rewarding personalized coupon experience. The team leverages strategic, personalized incentivization and tailored customer growth strategies to drive customer loyalty and inspire shopping. We have an exciting and high‑impact opportunity for a Senior Manager of Strategic Analytics to join our Front Store Offer Strategy team. In this role, you will bring strong analytical rigor and a deep, intrinsic curiosity about the CVS coupon experience. You will apply creative problem‑solving and data‑driven insight to elevate large data sets, enhance the consumer experience, and drive customers to our stores for their everyday shopping needs. The ideal candidate is highly skilled in identifying, understanding, and synthesizing retail business hypotheses. This includes structuring analytical approaches and leveraging advanced technical capabilities—such as coding, big‑data manipulation, and quantitative analytics—to validate or disprove key business assumptions. This role will collaborate closely with cross‑functional partners across Analytics & Behavioral Change, Retail Analytics, Loyalty Programs, Pricing & Promo, Consumer Insights, and Retail Marketing. The Senior Manager will report directly to the Director of Front Store Offer Strategy. Key Responsibilities - Own data storytelling: convert analytical outputs into actionable insight narratives - Champion Customer Truths: highlight patterns, risks, and opportunities and recommend concrete next steps. - Self‑serve data pulls: write SQL to source, join, and aggregate data; create trusted datasets for visualization and readouts. - Lead visualization & readouts: design executive‑ready dashboards and presentations; select the right visual for the decision; simplify complexity without losing signal. - Drive decisions, not just decks: facilitate insight reviews that end with clear recommendations, decision logs, and follow‑through on actions and owners. - Partner cross‑functionally: collaborate with marketing, merchandising, product, and finance leaders to frame hypotheses, align metrics, and close the loop with outcomes. Success Looks Like - Insight artifacts that leadership shares and reuses because they’re clear, concise, and decision‑oriented. - Dashboards that reduce meeting time and increase decision velocity. - A demonstrable link between insight readouts and business outcomes (e.g., margin lift, trip growth, improved customer experience). Your Typical Day Here Could Include: - The reviewing of key performance metrics and engagement trends via Power BI dashboards and proactively investigate anomalies. - Aligning with cross-functional teams (e.g., Loyalty, Merchandising, Pricing) on priorities and over-arching data needs. - Writing and optimizing SQL queries across Snowflake data sources to extract offer performance, customer behavior, and segmentation insights. - Building and refining Power BI dashboards to democratize access to strategic insights across the organization. - Translating complex analytics into clear, compelling visual narratives that support decision-making. - Presenting findings to stakeholders, highlighting actionable insights and strategic recommendations. - Spearheading a customer business insight request: Structuring and pressure-testing analytical insights to provide a comprehensive point of view on what’s happening and why. With a follow on of socializing key findings and/or opportunity areas and working cross-functionally to identify appropriate next steps. - Identifying anomalous data that could impact the accuracy of analyses: Critically examine source data and output to understand if results are due to erroneous data or legitimate trends. Responsibilities also Include: Master of customer data: Identifies customer insights, trends, changes in trends and outliers. Searches for root cause, proving and disproving key hypotheses. Understands all the analytical tools at our disposal – including external, non-traditional data sources – and utilizes them all to drive analysis. Partners with key stakeholders across cross-functional teams to develop and interpret data results. Required Qualifications Qualifications - 5 years’ experience structuring and leading analytical efforts to deliver relevant business insights and key growth opportunities - Experience analyzing large data sets: 5+ years of working knowledge and experience in Teradata and/or Snowflake preferred - Extensive skills and hands-on programming experience with SQL and relational databases. - Proficient with PowerPoint - Proven experience building and managing Power BI solutions in a business intelligence or analytics role. - Understanding of DAX, Power Query, and data modeling best practices. - The ability to communicate effectively and succinctly with a diverse range of stakeholders, both verbally and on paper, and with all levels of an organization - The ability to foster effective working relationships with and persuade diverse business leaders based on fact and reason with an emphasis on achieving tangible and meaningful long-term results - Ability to partner and collaborate effectively – with IT and other non-business partners Preferred Qualifications The successful candidate will be an out-of-the-box thinker who is intellectually curious with a demonstrated interest in learning. This person will need to be a self-motivated and self-directed leader, taking business questions or problems and independently structuring analytical approaches to addressing. This person must be able to easily function in a fast paced, performance-driven environment. He/she/they must be accustomed to working on multiple tasks in parallel. This professional must demonstrate strong leadership skills, and the ability to gain credibility with team members and senior management. The successful candidate will have the ability to identify and define business problems and issues and independently develop strategic, analytical, and financial frameworks to conduct analysis. He/she/they will have a proven capability to conduct quantitative portfolio and growth analysis and a passion for Retail. This candidate will communicate effectively and succinctly, verbally and on paper, and with all levels of an organization. This candidate will have a proven track record of engaging, influencing and aligning teams. Additionally: - Retail / CPG experience and / or experience with large customer data sets - Snowpark experience - Outstanding strategic thinking and analytical skills. Demonstrated ability to frame and evaluate business questions and hypotheses and synthesize facts and insights into concrete, actionable insights. - A passion for a data driven understanding of customer behavior and uncovering opportunities for action. Knowledge of analytical approaches as well as clear demonstrated customer analytics and growth opportunity identification is critical. - Proven ability to work across multiple simultaneous projects and deliver impactful and mistake-free work product. - Excellent communicator, both verbal and written, with the ability to set and frame a vision for executive alignment. Keen ability to distill complex ideas into simpler framework and illustrations. - Be comfortable on his/her feet making presentations - Communicate in an open and honest way that quickly builds trust and respect - Be highly motivated and possess vision, enthusiasm, and an entrepreneurial spirit Education Bachelor's degree required (prefer technical field of study – Science, Technology, Engineering, Mathematics) Pay Range The typical pay range for this role is: $82,940.00 - $182,549.00 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. This position also includes an award target in the company’s equity award program. 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 our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: - Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. - No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. - Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 05/31/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

• Identify, investigate and solve data issues: data quality, data discrepancies, missing data • Contribute to the development and improvement of data solutions • Optimize and develop our data infrastructure • Employ GCP tools (dbt, Airflow and Looker) to enhance data quality, efficiency, and delivery of accurate and timely data • Communicate with cross-functional teams and non-technical stakeholders in a clear and structured manner

• Design, develop, and maintain robust ETL pipelines for healthcare data integration • Work with Healthcare EDI transactions, including ANSI X12 (834, 837, 277, etc.) • Develop, optimize, and maintain data workflows using Talend and other ETL tools • Integrate data across multiple platforms utilizing Azure services (e.g., Data Factory, Data Lake) • Perform data transformation, cleansing, and validation to ensure accuracy and consistency • Collaborate with business stakeholders and technical teams to gather and translate requirements • Troubleshoot and resolve ETL and data-related issues in a timely manner • Ensure data quality, integrity, and compliance with healthcare industry standards

Role Description The Analytics Engineer (Finance) within Avetta’s Financial Planning & Analysis (FP&A) team will serve as a critical partner in driving insights that influence executive decisions and operational efficiency. This role will collaborate across Finance, Billing, Sales Operations, Business Intelligence, and Leadership teams to gather valuable insights and data, and optimize complex revenue analytics and planning processes to improve the accuracy and quality of the revenue forecast and reporting. - Raise the Company’s FP&A Cash Billings analytics & reporting function by optimizing: - Trace and join invoicing and customer-activity events end-to-end using clear, testable logic. - Design and build out an analytically-derived “Connection Subscription Ledger”: a detailed, time-aware log of monetized (billable) client–supplier connections, morphing into a handoff-ready dataset that Corporate BI productionizes in Snowflake. - Build analytics-ready warehouse models (SQL + modeling): - Write high-performance SQL to create curated tables/views that support: - Cohort creation and retention (by activation/event timing). - Expansion/contraction and product mix shifts. - Renewal behavior and customer lifecycle segmentation. - Price lift measurement and attribution. - Churn classification and event-driven “bridge” logic. - Establish foundational tables with carefully chosen and clearly defined data grain, durable surrogate/primary keys, and consistent dimensional attributes. - Bring data modeling rigor into Finance reporting: - Translate finance requirements into data logic: partner with the Business Analyst to define rules, acceptance criteria, and edge-case handling. - Run tight iteration loops: prototype → validation protocols → refine → document → finalize. - Provide “definition control” so recurring reporting stays consistent month-over-month. - Foster a wholistic understanding of the business (including underlying drivers and relationship/impact) within and across the entire FP&A team, leading to improved processes, collaboration, insight generation and optimal business outcomes. - Develop and monitor business performance indicators, highlighting trends, opportunities for improvement, causes of unexpected variance, and partner with finance and business partners to optimize downstream actions. Qualifications - Bachelor’s Degree in relevant field; additional education/certification is a plus. - 2–5 years of experience in data engineering / analytics engineering / advanced analytics roles in Snowflake or other modern cloud data warehouse. - Strong SQL (complex joins, window functions, incremental logic, recursive query development, performance tuning), with proven ability to model data for analytics (facts/dimensions, grain, keys, cohort logic). - 1 year of experience supporting dbt-style modular SQL, testing, and documentation. - Proficiency in AI-based tech stack solutions, agent design or company-specific LLM tooling. Requirements - Understanding of business, the why (not just the what), and numbers. - Accuracy of analysis and inputs that slide into strategic decisions. - Turnaround time, flexibility to adjust to changing environment / business needs, and leveraging of systems. - Consistent delivery with an ownership mentality. - Customer delight with supporting active engagement with cross-functional leaders. Benefits - Salary range: $74,000 - $143,000 USD per year, with a potential bonus. - Comprehensive benefits package, which includes health, dental and vision insurance, 401(k), and PTO. Company Description Avetta’s SaaS platform connects the world’s leading organizations with qualified suppliers, contractors, and vendors. We bring unmatched visibility to companies through cloud-based technology and human insights to improve supply chain risk and compliance. As a result, we foster sustainable growth for businesses and their supply chains globally. Our SaaS subscription-based software is used by 85k+ active customers in over 100 countries spanning across a wide range of industries.