Voice Product Analytics - Associate

JPMorganChase; Wilmington (DE); On-site; USD 90,000 - 120,000; Full time

Job summary

JPMorgan Chase is seeking an Associate, Voice Product Analytics to support advanced analytics across voice and digital channels within the Consumer and Community Banking Data & Analytics organization.

You will help teams understand customer journeys, develop executive-ready narratives, and build automated analytics solutions using SQL, Python or R, and Tableau in an agile delivery model.

Qualifications

• Minimum of 3 years of analytics, strategy, or related quantitative experience.
• Bachelor’s degree in a quantitative field.
• Experience delivering analytics solutions using an agile methodology (Scrum and/or Kanban).
• Strong SQL skills and hands-on experience with Python or R.
• Experience with data visualization and dashboarding (Tableau).
• Experience working with large datasets and analytics environments (relational databases and 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, processes, and underlying data.
• Support initiatives that improve customer experience and help 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, reusable 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 to inform improvements.
• Contribute to business cases by sizing opportunities and quantifying expected benefits and trade-offs.
• Support test and pilot design by defining populations, measurement approach, and evaluation criteria; analyze outcomes and recommend next actions.
• Build dashboards and visualizations to measure impact and enable self-service performance monitoring.
• Prepare and deliver presentations that summarize insights, conclusions, and recommended actions for stakeholders.

Skills

SQL

Python

R

Analytical thinking

Communication

Agile methodologies

Education

Bachelor's degree in a quantitative field

Tools

Tableau

Alteryx

Spark/Hive

Job description

Job Description

Help improve how customers experience service across voice and digital channels. In this role, you’ll turn complex data into insights that inform product and operational decisions. You’ll collaborate with partners across servicing, product, finance, marketing, and analytics to identify opportunities and measure impact. If you enjoy structured problem-solving, storytelling with data, and delivering results in an agile environment, this role offers meaningful visibility and growth.

Associate, Voice Product Analytics

Within the Consumer and Community Banking Data and Analytics organization, you will support advanced analytics work across Operations functions, channels, and products. You will contribute across the analytics lifecycle, including scoping, data lineage documentation, data development, hypothesis development, analysis, and insight generation.

You will help teams understand customer journeys and friction points across voice and digital interactions. You will develop clear, executive‑ready narratives and materials that help stakeholders prioritize actions that improve customer experience and operational outcomes.

You will use enterprise data—spanning customer, account, digital, telephony, financial, and operational sources—to build automated and repeatable analytics solutions. You’ll work in an agile delivery model to iterate, incorporate feedback, and deliver incremental value, partnering closely with cross‑functional teams to align on success measures, test approaches, and performance tracking.

Job Responsibilities

• Partner with Operations stakeholders and product groups to understand business drivers, processes, and underlying data
• Support initiatives that improve customer experience and help 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, reusable analyses
• Analyze customer interactions across channels (calls, branch, online, and mobile) to identify journey patterns and friction points
• Develop and report performance metrics and key performance indicators (KPIs); apply methods such as trend analysis and segmentation to inform improvements
• Contribute to business cases by sizing opportunities and quantifying expected benefits and trade‑offs
• Support test and pilot design by defining populations, measurement approach, and evaluation criteria; analyze outcomes and recommend next actions
• Build dashboards and visualizations to measure impact and enable self‑service performance monitoring
• Prepare and deliver presentations that summarize insights, conclusions, and recommended actions for stakeholders

Required Qualifications, Capabilities, And Skills

• 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 at least one analytics language (Python or R)
• Experience with data visualization and dashboarding (for example, Tableau)
• Experience working with large datasets and analytics environments (for example, 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 (For example: Alteryx)

Preferred Qualifications, Capabilities, And Skills

• Graduate degree in a quantitative or related field
• Experience using Agentic AI Tools (Github, Copilot, Cortex AI)
• Familiarity with Amazon Web Services (AWS) and cloud‑based data solutions
• Familiarity with data mining, statistical modeling, machine learning, and other advanced analytics methods
• Experience writing code and automating processes to source, transform, and analyze data from multiple sources (including unstructured data)

About the Company

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 offer a competitive total rewards package determined by role, experience, skill set, and location. Eligible roles may receive commission‑based pay and/or discretionary incentive compensation. 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.

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. 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

The 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. The CCB Data & Analytics team leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses disciplines from data governance and strategy to reporting, data science, and machine learning. It partners closely with Technology to provide cutting‑edge data and analytics infrastructure, powering Chase with insights to create the best customer and business outcomes.