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Data Platform Analyst III

Job in Richardson, Dallas County, Texas, 75080, USA
Listing for: GAINSCO Auto Insurance
Full Time position
Listed on 2026-10-24
Job specializations:
  • Business
    Business Systems & Technology Analysis
  • IT/Tech
    Business Systems & Technology Analysis, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below
Description

About GAINSCO

Founded in 1978, GAINSCO offers property and casualty insurance with an emphasis on non-standard personal auto policies. It serves drivers nationwide by providing minimum-limits personal auto coverage, making insurance more accessible to a broader market. In 2020, GAINSCO, Inc. and its subsidiaries were acquired, making a significant milestone that strengthened GAINSCO’s ability to grow and expand its reach in the personal auto industry market while continuing to build on its decades of specialized expertise.

Join a team that is dedicated to supporting your professional growth and long-term success.

Who We Are

At GAINSCO, we are a team driven by passion, creativity, and a commitment to excellence. We celebrate achievements, encourage innovative thinking, and recognize the unique strengths each person brings. Our people truly set us apart. If you’re seeking a company where your contributions are valued, your efforts have a visible impact, and your dedication is recognized, take the next step in your career with us.

GAINSCO is seeking a Data Platform Analyst III to translate complex business and data needs into clear requirements for enterprise data solutions. This senior individual contributor will partner with business stakeholders, Data Engineering, Architecture, Governance, and Analytics teams to support data initiatives from discovery through deployment. You will analyze data sources, processes, integrations, and reporting needs while helping teams deliver scalable, reliable, and business-aligned solutions.

The ideal candidate combines advanced business analysis skills with strong data knowledge, cross-functional leadership, and the ability to communicate effectively with both business and technical audiences.

What does a Data Platform Analyst III do?

  • Lead discovery sessions and translate complex business and data needs into requirements, user stories, acceptance criteria, and source-to-target specifications.
  • Partner across business and technical teams throughout planning, design, development, testing, deployment, and transition to production support.
  • Document data flows, process workflows, integrations, business rules, lineage, ownership, quality expectations, and reporting requirements.
  • Manage the requirements backlog, track risks and dependencies, and resolve requirement gaps or ambiguities.
  • Coordinate data validation, reconciliation, defect triage, User Acceptance Testing, and stakeholder approval.
  • Mentor analysts and cross-functional partners while improving data literacy, documentation standards, and data platform analysis practices.

What is required?

Education:

  • High school diploma or equivalent required.
  • Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Business, or a related field preferred.

Experience:

  • 5+ years of experience in business analysis, data analysis, data platform delivery, project management, or a related field is required.
  • 1+ years of experience in the Property & Casualty (P&C) insurance or financial services industry is required.

Experience in Personal Auto insurance is preferred.

  • 2+ years of experience supporting complex, cross-functional data or technology initiatives is preferred.
  • Experience gathering complex business and data requirements and translating them into functional requirements, technical requirements, user stories, acceptance criteria, and source-to-target specifications is required.
  • Experience supporting data platform, data integration, modernization, or analytics initiatives throughout the delivery lifecycle is required.
  • Experience analyzing source systems, data structures, integrations, transformations, reporting needs, and data-quality requirements is required.
  • Experience facilitating discovery sessions and…
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