Marketing Analytics Lead-Vice President

JPMorgan Chase & Co.•Wilmington, DE

About The Position

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.

Requirements

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.

Nice To Haves

Experience using Adobe Analytics.
Familiarity with agentic artificial intelligence tools and applying them to enhance marketing operations, analytics, and decision-making.
Advanced degree

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.