Performance Marketing Analytics - Senior Associate

JP Morgan Chase; Columbus (OH); Sur place; USD 110 000 - 140 000; Plein temps

Résumé du poste

JPMorganChase is seeking a Quantitative Analytics Senior Associate to drive the end-to-end analytics lifecycle, from raw data to executive-ready insights. You will design experiments, build reliable pipelines, and partner with marketing, product, and technology teams to measure performance and optimize customer acquisition.

You will translate complex findings into actionable business decisions, with a focus on data quality, governance, and scalable analytics that support Owned Media strategy.

Qualifications

• Bachelor's degree in Data Science, Computer Science, or a related technical field.
• 2+ years of applied experience in analytics, software engineering, or a related field.
• Hands-on experience with system design, application development, testing, and operational stability.
• Strong SQL skills and experience working with relational databases to extract, manipulate, and analyze data.
• Experience building analytical solutions across multiple data sources, with attention to data quality and reproducibility.
• Ability to manage multiple priorities independently with strong organization and attention to detail.
• Strong written and verbal communication skills, with the ability to distill complex findings into clear, concise insights for varied audiences.
• Experience translating analytical outcomes into business actions in partnership with cross-functional stakeholders.

Responsabilités

• Identify, integrate, and analyze large, complex datasets from multiple sources to generate actionable insights and recommendations.
• Design measurement approaches and experiments (including A/B, multivariate, and holdout designs) to quantify impact and inform decisions.
• Interpret experimental results using primary and guardrail metrics, statistical significance, and practical business impact.
• Diagnose performance drivers through segmentation, funnel analysis, and anomaly detection.
• Build and maintain scalable, production-ready data pipelines and analytical frameworks that enable repeatable reporting and insights.
• Write secure, stable, testable, and maintainable code using SQL and Python or R, with strong attention to quality and controls.
• Communicate complex findings through clear narratives and visualizations; present to senior stakeholders and influence roadmaps and priorities.
• Stay current on innovations in analytics and responsibly use approved AI-assisted analytics tools to accelerate development, documentation, and issue triage.

Connaissances

Analytical thinking

SQL skills

Data storytelling

Cross-functional collaboration

Experiment design

Problem solving

Formation

Bachelor's degree in Data Science, Computer Science, or a related technical field

Master's degree in Data Science, Computer Science, or a related technical field

Outils

SQL

Python

R

Data pipelines

Experimentation frameworks

Description du poste

Join a team that helps shape how millions of customers discover and choose Chase digital experiences. You will work at the intersection of analytics, data science, and data engineering to turn complex data into clear decisions and scalable solutions.

As a Quantitative Analytics Senior Associate at JPMorganChase within Performance Marketing Analytics, you will own the lifecycle from raw data to executive-ready insight. You will design and interpret experiments, develop analytical frameworks, and build reliable pipelines that help teams move faster with confidence. You will partner with marketing, product, and technology stakeholders to measure performance, optimize customer acquisition, and strengthen Owned Media strategy through data.

Job responsibilities

• Identify, integrate, and analyze large, complex datasets from multiple sources to generate actionable insights and recommendations
• Design measurement approaches and experiments (including A/B, multivariate, and holdout designs) to quantify impact and inform decisions
• Interpret experimental results using primary and guardrail metrics, statistical significance, and practical business impact
• Diagnose performance drivers through segmentation, funnel analysis, and anomaly detection (for example: device, customer type, drop-off points, traffic allocation, and logging gaps)
• Build and maintain scalable, production-ready data pipelines and analytical frameworks that enable repeatable reporting and insights
• Write secure, stable, testable, and maintainable code using SQL and Python or R, with strong attention to quality and controls
• Communicate complex findings through clear narratives and visualizations; present to senior stakeholders and influence roadmaps and priorities
• Stay current on innovations in analytics and responsibly use approved AI-assisted analytics tools to accelerate development, documentation, and issue triage

Required qualifications, capabilities and skills

• Bachelor's degree in Data Science, Computer Science, or a related technical field
• 2+ years of applied experience in analytics, software engineering, or a related field
• Hands-on experience with system design, application development, testing, and operational stability
• Strong SQL skills and experience working with relational databases to extract, manipulate, and analyze data
• Experience building analytical solutions across multiple data sources, with attention to data quality and reproducibility
• Ability to manage multiple priorities independently with strong organization and attention to detail
• Strong written and verbal communication skills, with the ability to distill complex findings into clear, concise insights for varied audiences
• Experience translating analytical outcomes into business actions in partnership with cross-functional stakeholders

Preferred qualifications, capabilities and skills

• Master's degree in Data Science, Computer Science, or a related technical field
• Experience with data visualization or workflow tools (for example: Tableau or Alteryx)
• Proficiency in Python or R for analysis and automation
• Experience applying machine learning and generative AI tools to automate workflows and deliver insights, with a responsible and compliant approach
• Understanding of responsible AI practices, including data sensitivity considerations and secure handling of inputs and outputs

We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase , will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).

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.