Quant Analytics Senior Associate - Marketing

JPMorgan Chase & Co.; Ohio; On-site; USD 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Sr. Associate for Marketing Analytics to deliver end-to-end analytics across campaign lifecycles, from planning and modeling to reporting and ROI measurement.

You will partner with Marketing, Modeling, Finance, and Data & Analytics teams to design, implement, and track strategic campaigns with a consultative, data-driven approach. You will lead optimization, experimentation, and measurement efforts, leverage predictive models, and apply AI-enabled analytics to

Qualifications

• Proven hands-on experience delivering financial analytics and performance insights across levels of management.
• 3+ years of Marketing Data & Analytics experience.
• Master’s degree orBachelor’s degree with additional years of related experience.
• Ability to explain complex quantitative topics clearly to business and technical partners.
• Experience with business marketing strategy and lifecycle execution.
• Proficiency in SQL, Python, SAS, or R.
• Experience with relational databases and big data platforms including Snowflake.
• Strong analytical reasoning and structured problem solving.
• Understanding of ETL/ELT concepts and data flows impacting analytics.
• Experience with dynamic self-serve BI tools for dashboards and automated reporting.
• Strong written and oral communication for executive narratives.

Responsibilities

• Lead financial and analytical optimization of marketing programs across the lifecycle.
• Own stakeholder relationship management for assigned marketing partners.
• Drive experimentation strategy and measurement rigor across campaigns.
• Apply predictive models to marketing investment planning and optimization.
• Develop analytic assets and frameworks to evaluate campaign ROI and incrementality.
• Utilize Snowflake and emerging AI-enabled analytics tools to improve speed and scale.
• Collaborate across modeling, finance, marketing channels, and delivery teams.
• Define data requirements and coordinate with data teams to address gaps.
• Maintain processes and controls for measurement quality and auditability.

Skills

Marketing Data & Analytics

SQL

Python

SAS

R

Snowflake

ETL/ELT

Dashboards

Statistics

Data structures

Communication

Stakeholder management

Test design

Forecasting/Proformas

Education

Master’s degree in a related field, or Bachelor’s degree + 2 years experience

Tools

Snowflake

Job description

Sr. Associate for Marketing Analytics, you will deliver analytics across the end-to-end marketing campaign lifecycle, including opportunity planning, financial business case development, impact modeling, test design, execution support, reporting, and financial performance measurement, with a focus on marketing acquisition campaigns. This role partners closely with Marketing, Modeling, Finance, and Data & Analytics (D&A) stakeholders to develop, design, implement, and track strategic campaigns. The successful candidate is analytically and technically strong, communicates clearly with senior stakeholders, operates with a consultative mindset, and brings innovative analytical approaches to convert complex data into actionable insights.

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.
• Apply predictive models and measurement insights to ongoing marketing investment planning and optimization, informing audience, offer, channel, and funding decisions to maximize incremental growth and value.
• Develop analytic assets and frameworks to efficiently 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.

Required Qualifications, Capabilities and Skills:

• Proven hands-on experience delivering financial analytics and performance insights across levels of management, including campaign test designs, estimation proformas, and actual performance measurement.
• 3+ years of related Marketing Data & Analytics experience.
• Master’s degree in a related field, or Bachelor’s degree + 2 years experience in a related discipline.
• 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.