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JPMorganChase

Quant Analytics Manager - Marketing

Posted 2 Hours Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in OH, USA
Senior level
Remote or Hybrid
Hiring Remotely in OH, USA
Senior level
Leads financial and marketing analytics across campaign planning, experimentation, measurement, reporting, and optimization. Owns stakeholder relationships, develops incrementality and ROI frameworks, applies predictive models, defines data requirements, enhances analytical tools and controls, and coaches junior analysts. Partners with marketing, finance, modeling, data, and execution teams to translate complex quantitative insights into actionable investment and growth decisions.
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 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 (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.
  • 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.
About Us

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 needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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