Voice Product Analytics Specialist

JPMorgan Chase & Co.

Wilmington (DE)

On-site

USD 90,000 - 130,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. invites an Associate, Voice Product Analytics to help improve customer experiences across voice and digital channels.

You will turn complex data into insights that inform product and operational decisions, collaborating with servicing, product, finance, marketing, and analytics teams in an agile environment. You will support analytics across Operations, define hypotheses, build dashboards, and present executive-ready narratives that prioritize actions to improve customer

Qualifications

Minimum of 3 years of experience in analytics, strategy, or a related quantitative role.
Bachelor’s degree in a quantitative field or equivalent practical experience.
Experience delivering analytics solutions using an agile methodology (Scrum and/or Kanban).
Strong SQL skills and hands-on experience using Python or R.
Experience with data visualization and dashboarding (Tableau).
Experience working with large datasets and analytics environments (relational databases and/or Spark/Hive).
Ability to translate ambiguous questions into structured analyses, measurable outcomes, and clear recommendations.
Strong communication and stakeholder management skills, including comfort presenting to senior leaders.
Experience with analytics workflow tools (e.g., Alteryx).

Responsibilities

Partner with Operations stakeholders and product groups to understand business drivers and data.
Support initiatives that improve customer experience and reduce operating expenses across Operations product groups.
Scope analytics work by clarifying problem statements, hypotheses, success metrics, and approach.
Document data lineage and contribute to data development to enable accurate analyses.
Analyze customer interactions across channels to identify journey patterns and friction points.
Develop and report performance metrics and KPIs; apply trend analysis and segmentation.
Contribute to business cases by sizing opportunities and quantifying benefits.
Support test and pilot design; define populations and evaluation criteria; analyze outcomes.
Build dashboards and visualizations to measure impact and enable self-service monitoring.
Prepare and deliver presentations summarizing insights and recommendations.