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Quant Analytics Manager - Marketing

JPMorgan Chase
Ohio, USA
Full-time
Manager · 6+ years experience
Onsite
Discovered 1 weeks ago
pythonsassnowflakesql

Full Job Posting

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.
  • 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.

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.

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