Marketing Analytics Lead-Vice President

About the role

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee

Additional Information

Turn data into growth for small businesses. In this role, your analysis will shape which acquisition campaigns we run, how we target customers, and how we prove financial impact. You will partner closely with Marketing, Finance, and Data and Analytics to design experiments, quantify incrementality, and translate results into clear executive actions. If you enjoy combining analytical rigor with real-world execution, this role offers visible, measurable impact. As a Marketing Analytics Lead in Small Business Decision Sciences, you will own analytics across the end-to-end marketing campaign lifecycle, from opportunity sizing and business case development through test design, execution support, and performance measurement. You will work with partners across Marketing, Finance, and Data and Analytics to deliver insights that are practical, controlled, and aligned to business priorities. You will help us strengthen measurement discipline, improve the speed and consistency of insights, and ensure results are repeatable and audit ready. Job responsibilities Lead financial and analytical optimization of marketing programs throughout the lifecycle: opportunity sizing, targeting, test design, execution support, performance reporting, and insights. Own stakeholder relationship management and delivery for assigned marketing partners (book of work): intake, prioritization, scoping, timelines, and outputs; align work to business goals and campaign calendars. Drive experimentation strategy and measurement rigor , including hypothesis framing, test/control design, success metrics, and post-test readouts; support list execution requirements and measurement feasibility. Develop analytic assets and frameworks to evaluate campaign incrementality, profitability, and ROI (e.g., forecast/proforma vs. actuals, attribution/measurement approaches where relevant). Leverage and help evolve the analytics toolset , including Snowflake and emerging AI-enabled analytical applications , to improve speed, scale, and consistency of insights. Collaborate across functions (modeling, finance, marketing channels, and execution/delivery teams) to ensure solutions are implementable, controlled, and aligned to standards. Advocate for and define data requirements needed to monitor performance, targeting, and execution; partner with data teams to address data gaps, quality, and lineage considerations. Maintain and enhance processes and controls supporting measurement quality, repeatability, and auditability of results. Coach and develop junior team members , setting standards for analytical methods, documentation, and stakeholder-ready storytelling. Required qualifications, capabilities, and skills Bachelor's degree + 5+ of Marketing Data & Analytics experience Proven hands-on experience delivering financial analytics and performance insights across levels of management, including campaign test designs, estimation proformas, and actual performance measurement . Exceptional collaboration and interpersonal skills; ability to explain complex quantitative topics (e.g., statistics, algorithms, data structures ) clearly and influence decision-making across business and technical partners. Demonstrated experience with business marketing strategy and tactical lifecycle execution . Proficiency in data analysis languages/tools such as SQL, Python, SAS, R (or comparable). Experience with relational databases and big data platforms , including Snowflake . Strong analytical reasoning, interpretive ability, and structured problem solving. Technical understanding of data extraction, transformation, and load (ETL/ELT) concepts and how data flows impact analytics outcomes. Experience with dynamic, interactive self-serve BI tools (dashboarding and automated reporting). Strong written and oral communication skills, including creating executive-ready narratives and presenting complex findings simply. Preferred qualifications, capabilities, and skills Experience using Adobe Analytics. Familiarity with agentic artificial intelligence tools and applying them to enhance marketing operations, analytics, and decision-making. Advanced degree

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