Data Scientist Senior Associate - Payments

JPMorganChase·Oracle Recruiting
Plano, TXFull-timePosted Jul 8, 2026
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Analytics division champions this mission by delivering data and fostering the integration of analytics insights. We are seeking a Data Analyst to elevate our analytics capabilities.

As a Senior Associate in Analytics & Strategic Delivery, you will contribute to building and maintaining dashboards and performance reporting, developing actionable insights, and managing portions of cross-functional analytics projects from intake through delivery. You will work closely with partners across Product, Sales, Marketing, Operations, Technology, and Risk to ensure requirements are clear, deliverables are on time, and outputs are well-documented, reliable, and used.

The JPMorgan Chase Payments Portfolio Growth & Execution Analytics team is committed to fostering a data-driven culture and enabling strategic, fact-based decision-making across the organization. In this role, you will support delivery of analytics, reporting, and measurement initiatives—partnering with cross-functional teams to improve visibility, execution, and outcomes across our payments business.

Job Responsibilities

  • Build, enhance, and maintain recurring reporting and dashboards that track key performance metrics across the SMB Payments business (e.g., funnel performance, portfolio health, operational KPIs).
  • Conduct analyses to identify trends, drivers, and opportunities; synthesize findings into clear, practical recommendations. Apply appropriate data handling, privacy, and control considerations in day-to-day analytics work.
  • Support standardized metric definitions and documentation to improve consistency and reduce ad hoc ambiguity (“single source of truth” reporting).
  • Support end-to-end delivery of analytics projects: requirements gathering, workplan development, milestone tracking, dependency management, and stakeholder updates.
  • Translate business questions into clear analytical requirements and user stories (where applicable), partnering with Technology and Data teams to deliver solutions.
  • Maintain execution hygiene (status notes, action items, risks/issues, timelines) and escalate blockers appropriately.
  • Partner with teams across Product, Sales, Marketing, Operations, and Risk to understand reporting needs and drive adoption of dashboards and recurring insights.
  • Create enablement materials (one-pagers, metric dictionaries, “how-to” guides) to help stakeholders interpret and use reporting correctly.
  • Incorporate feedback and usage patterns to iterate on dashboards and outputs over time.
  • Perform validation and reconciliation checks to ensure reporting accuracy and consistency across sources.
  • Support governance routines for metric changes (definition updates, data refresh cadence, and documentation)

     

Required Qualifications, Capabilities, and Skills

  • 3+ years of experience in analytics, business intelligence, business analysis, strategy & analytics, or a related role 
  • Strong SQL skills and experience working with large datasets; ability to validate results and troubleshoot data issues.
  • Experience building dashboards and recurring reporting (e.g., Tableau, Looker, Power BI) and communicating insights to non-technical stakeholders.
  • Demonstrated project management skills—able to manage timelines, dependencies, and stakeholder communications across multiple workstreams.
  • Strong written and verbal communication skills; ability to turn ambiguous questions into structured problem statements and requirements.
  • High attention to detail and comfort operating in a controlled environment with data governance and privacy expectations.

 

Preferred Qualifications

  • Payments or financial services experience preferred
  • Experience with measurement frameworks and KPI design (defining metrics, aligning to business goals, documenting definitions).
  • Familiarity with agile delivery concepts (user stories, sprint rituals, backlog hygiene) and working with technology teams.
  • Experience with payments, merchant services, or go-to-market analytics (pipeline/funnel, retention, cross-sell).

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