JP Morgan Chase & Co.

Product Data Analyst - Payments - Associate

JP Morgan Chase & Co.$80K — $95K *
Tampa, FL 33647In-Person
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s or Master’s degree in related field with 3-5 years of experience as a data analyst.
  • Experience building and managing semantic layers and Refiner Tables in enterprise systems.
  • Expertise in SQL and Python for data manipulation and analysis.
  • Ability to develop production-grade Tableau dashboards and self-service reporting.
  • Familiarity with trend analysis, cohort analysis, and predictive metrics guidance.
  • Proficient with cloud data warehouses; knowledge of Snowflake and Cortex features is a plus.
  • Strong communication skills for presenting data insights to senior leadership.

Responsibilities

  • Collaborate with leadership and teams to identify business challenges and analytics needs.
  • Use statistical analysis to filter meaningful trends from data noise.
  • Create and oversee business metrics aligned with organizational goals.
  • Develop and refine semantic layers for accurate data representation.
  • Write and optimize complex SQL queries for data extraction and analysis.
  • Employ Python for advanced data manipulation beyond SQL capabilities.
  • Design high-impact Tableau dashboards for executive audiences.
  • Communicate findings effectively to both technical and non-technical stakeholders.
  • Advance conversational AI initiatives by ensuring data accuracy and chatbot functionality.
  • Work with product managers and engineers to enhance chatbot performance.

Benefits

  • Opportunity for professional growth in a fast-paced environment.
  • Engagement in cutting-edge projects in conversational AI and data analysis.
  • Collaborative culture with cross-functional partnerships.
  • Learning opportunities through hands-on experience with advanced analytics tools.
  • Involvement in impactful product decisions that enhance customer experiences.
Full Job Description
JOB DESCRIPTION
As a Product Associate in Data Reporting, you play a crucial role in supporting the product development process and contributing to the discovery of innovative solutions that address customer needs. Working closely with the product management team and cross-functional partners, you contribute your skills and insights to help ensure the success of our product offerings. As a valued member of the team, you have the opportunity to learn and grow in a dynamic and fast-paced environment, making a tangible impact on our products and customer experiences.

The Product Data Analyst partners with business, engineering, design, and product teams to transform complex datasets into clear, actionable insights that drive strategic decision-making. You will anchor emerging conversational AI initiatives—leveraging modern tools to shape how stakeholders dynamically query and interact with data through highly structured semantic models and refiner tables.
Job responsibilities
  • Partner deeply with leadership and cross-functional teams to diagnose business friction points, scope analytics deliverables, and define core success metrics.
  • Apply structured statistical thinking and historical trend analysis to differentiate systemic market shifts from short-term data noise, translating complex business problems into viable data-science approaches.
  • Design, build, and audit core business metrics across the MS platform, ensuring consistency, governance, and seamless alignment with overarching organizational KPIs.
  • Maintain an expert-level understanding of cloud database relationships, building and refining solid semantic layers (including Refiner Tables) that accurately map complex physical schemas into clean, reliable business definitions.
  • Write, optimize, and scale highly performant SQL queries using complex joins, CTEs, and window functions.
  • Utilize Python for data manipulation, programmatic parsing, and deep statistical analysis where traditional SQL falls short.
  • Build, scale, and maintain high-impact Tableau dashboards using advanced filtering, parameters, and self-service capabilities designed for executive-level audiences.
  • Deliver findings clearly to technical and non-technical stakeholders alike by contextualizing what happened, analyzing why it occurred via trend lines, and recommending clear, high-impact next steps.
  • Direct the evolution of conversational AI products by testing prompts, establishing strict response validation parameters, and ensuring LLM outputs map accurately to approved database metrics.
  • Collaborate closely with engineers and product managers to improve chatbot accuracy, usability, and conversational pathways.
  • Act as the internal subject matter expert for next-generation cloud architectures, working directly with systems like Snowflake, Refiner Tables, Cortex Search, and Cortex Analyst.
     
Required qualifications, capabilities, and skills
  • Bachelor’s degree with 5+ years of relevant experience as a data analyst, OR a Master’s degree (e.g., Data Science, Business Analytics, Economics, or Computer Science) with 3+ years of relevant experience.
  • Proven experience building and maintaining robust semantic layers and Refiner Tables within enterprise data architectures to ensure absolute data consistency across BI tools and AI applications.
  • Mastery of advanced SQL alongside proven proficiency in Python for comprehensive data parsing, automation, or statistical exploration.
  • Proven track record of building production-grade Tableau dashboards and scalable self-service reporting portals.
  • Extensive experience executing structured trend analysis, cohort analysis, or predictive metric tracking to guide long-term planning.
  • Strong working experience with cloud data warehouses, and knowledge of Snowflake Cortex features (Cortex Search, Cortex Analyst) and related enterprise semantic frameworks.
  • Strong written and verbal communication skills, with a demonstrated ability to present findings comfortably to senior leadership.
  • Hands-on experience developing or fine-tuning conversational AI tools, semantic models, or Natural Language Processing (NLP) search features.
  • Experience navigating fast-paced platform environments or enterprise-level financial/operational analytics spaces.

 

Preferred qualifications, capabilities, and skills
  • 2+ years of experience or equivalent expertise in product management, project management, or a relevant domain area
  • Developing knowledge level of the product development life cycle
  • Exposure to product life cycle activities including discovery and requirements definition
  • Emerging knowledge of data analytics and data literacy

     

About JP Morgan Chase & Co.

JP Morgan Chase & Co. stands at the forefront of the global financial services industry. They offer an expansive array of products and services to a diverse clientele, including individuals, corporations, governments, and institutions. Ever since the merger of J.P. Morgan & Co. and Chase Manhattan Corporation in 2000, this industry-leading entity has become renowned for its comprehensive portfolio encompassing consumer and community banking, corporate and investment banking, commercial banking, as well as asset and wealth management. Headquartered in the vibrant city of New York, JP Morgan Chase & Co. boasts a formidable presence across over 100 countries worldwide.

Unveiling Employment Opportunities at JP Morgan Chase & Co.

Vacancies and Hiring Initiatives

JP Morgan Chase & Co. is continuously on the lookout for talented individuals eager to contribute to its legacy of excellence. The company's recruitment efforts are geared towards identifying candidates with the right blend of skills and qualifications to drive forward its various business segments. Whether you are a seasoned professional or a recent graduate, JP Morgan Chase offers a plethora of job openings across multiple disciplines.

High-Demand Positions

Among the myriad of roles, certain positions stand out for their attractive compensation packages and career advancement prospects. Notably, high-paying jobs at JP Morgan Chase & Co. include Relationship Manager, Branch Manager, and Software Engineer. These roles are critical to the firm's operations and offer lucrative opportunities for those with the requisite expertise.

Navigating the Job Market at JP Morgan Chase & Co.

Leveraging Job Portals and Job Alerts

For job seekers aiming to tap into the opportunities at JP Morgan Chase, staying updated through job portals and subscribing to job alerts is crucial. These tools can provide timely information about job openings, job fairs, and recruitment events, enabling candidates to apply promptly and prepare adequately for interviews.

Preparing Your Job Application

Your job application, comprising your resume and cover letter, is your ticket to securing an interview at JP Morgan Chase. Highlight your qualifications, skills, and experiences that align with the job listing, ensuring you stand out in the competitive job market.

Acing the Interview

Preparation is key to succeeding in your interview with JP Morgan Chase. Familiarize yourself with the company's business segments, values, and recent achievements. Demonstrating how your background and aspirations match the company's goals can significantly increase your chances of employment. A World of Job Opportunites in the Financial Services Industry JP Morgan Chase & Co. offers a world of job opportunities for those seeking to make their mark in the financial services industry. With competitive salaries, comprehensive benefits, and endless possibilities for growth, positions at JP Morgan Chase are highly coveted. By staying informed through job sites, tailoring your applications, and preparing thoroughly for interviews, you can enhance your prospects of joining the esteemed ranks of JP Morgan Chase employees. Explore the job board, seize the job opportunities, and embark on a rewarding career journey with one of the world's leading financial institutions.
Learn more about JP Morgan Chase & Co.
Size
661 employees
Market Cap
$384.5 billion
Industry
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ

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