Data Science Senior Associate - Digiops Analytics

JPMorgan Chase JPMorgan Chase · Banking · Wilmington, DE +1 · Consumer & Community Banking

This role focuses on analyzing customer journey data to improve self-service experiences and drive business outcomes. Responsibilities include developing analytical plans, measuring A/B tests, providing insights, and collaborating with cross-functional teams. While it mentions partnering with ML teams, the core function is data analysis and driving insights from customer behavior, not directly building or shipping AI models.

What you'd actually do

  1. Analyze, visualize, and tell compelling stories through data about customer behaviors and digital journeys
  2. Increase data-informed decisions through establishing partnerships, best practices, and clear communications
  3. Create experiment and analytical plans to measure the customer impact of new strategies and operational improvements
  4. Identify opportunities to drive business outcomes through insights, objectives and key results development, and deep-dive analysis
  5. Collaborate with cross-functional teams to identify and prioritize initiatives that drive operational efficiencies and improve customer experience

Skills

Required

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • 3+ years of experience analyzing customer experiences, digital products/usage, or in digital operations, strategy, or a related field
  • Detail-oriented and structured thinker with a passion for analyzing data and providing clear actionable insights
  • Ability to organize complex business problems and translate them into analytical plans, and execute with high quality
  • Strong communication and presentation skills to deliver insights to executives and partner with other teams
  • Proficiency with SQL
  • Experience with web analytics
  • Bachelor’s degree required

Nice to have

  • Experience with analytical tools such as Copilot, Python, R, Alteryx, Tableau, and Adobe Analytics
  • Experience working with big data environments (for example, Hadoop, Teradata, Snowflake)
  • Experience with A/B testing
  • Experience in financial services or a similar industry
  • Strong slide-writing and presentation skills to deliver analytical insights