Quant Analytics Manager - Marketing

JPMorganChase; Chicago (IL); On-site; USD 119,000 - 195,000; Full time

Job summary

JPMorganChase in Columbus, OH is seeking a VP, Quant Analytics Manager to lead end‑to‑end analytics for marketing campaigns. You will design financial business cases, model impact, and provide executive‑level storytelling on performance and ROI.

Responsibilities include optimizing campaigns, managing stakeholder expectations, and advancing analytics through predictive models and modern toolsets. This role demands strong communication and collaborative leadership.

Qualifications

• Proven hands-on experience delivering financial analytics and performance insights across levels of management, including campaign test designs, estimation proformas, and actual performance measurement.
• 6+ years of related Marketing Data & Analytics experience.
• Exceptional collaboration and interpersonal skills; ability to explain complex quantitative topics 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).

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.
• Coach and develop junior team members, setting standards for analytical methods, documentation, and stakeholder-ready storytelling.

Skills

SQL

Python

SAS

R

Analytical thinking

Executive storytelling

Education

Master’s degree

Bachelor’s degree + 5 years experience

Tools

Snowflake

Job description

Quant Analytics Manager - Marketing

As a VP, Marketing Analytics Manager, you will manage and 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 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.
• Coach and develop junior team members, setting standards for analytical methods, documentation, and stakeholder-ready storytelling.

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.
• 6+ years of related Marketing Data & Analytics experience.
• Master’s degree in a related field, or Bachelor’s degree + 5 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.

Locations

1111 Polaris Pkwy, Columbus, OH, 43240, US

Job Schedule

Full time

Base Pay/Salary

Chicago,IL $118,750.00-$195,000.00