Performance Marketing Analytics, Senior Associate

JPMorgan Chase

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Quick summary

Work type: On-site
Location: Columbus, OHWilmington, DENew York, NY
Employment: Full-time
Posted: 14 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $160k

$111k $212k

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This listing doesn't post a salary. Most similar roles pay $135,000–$184,912.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Performance Marketing Analytics, Senior Associate

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As a Performance Marketing Analytics - Senior Associate, you will join the Performance Marketing Analytics team to bridge the gap between analytics, data science, and data engineering. You will own the full lifecycle from raw data to executive-ready insights by designing experiments, developing analytical frameworks, and building reliable data pipelines. Your daily work involves identifying and integrating complex datasets to measure performance, optimize customer acquisition, and strengthen Owned Media strategy. You will use SQL, Python, or R to write secure, maintainable code and perform funnel analysis, anomaly detection, and segmentation. You must interpret experimental results using statistical significance to influence roadmaps. The role requires translating complex findings into clear narratives for stakeholders while utilizing tools like Tableau or Alteryx to solve problems regarding customer discovery and digital experience optimization.

Skills

SQL Python R Data Science Machine Learning Generative AI Data Engineering Data Pipelines Relational Databases Tableau Alteryx Data Visualization System Design Statistical Significance Funnel Analysis

What you'll do

Integrate and analyze large, complex datasets from multiple sources to generate actionable business recommendations.
Design and interpret A/B, multivariate, and holdout experiments to quantify impact and inform decisions.
Diagnose performance drivers using segmentation, funnel analysis, and anomaly detection.
Build and maintain scalable, production-ready data pipelines and analytical frameworks for repeatable reporting.
Write secure, stable, and maintainable code using SQL and Python or R.
Communicate complex findings through clear narratives and visualizations to senior stakeholders.
Use approved AI-assisted analytics tools to accelerate development, documentation, and issue triage.

What we're looking for

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 (preferred).
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.
Proficiency in Python or R for analysis and automation (preferred).
Experience building analytical solutions across multiple data sources with attention to data quality and reproducibility.
Experience with data visualization or workflow tools like Tableau or Alteryx (preferred).

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