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# Data Platform Analyst III

- **Company:** Gainsco Auto Insurance
- **Location:** Richardson, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Data Analysis, Software Bug Management, Software Documentation, Information Systems, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Structures, Data Warehousing, Document-Oriented Databases, Metadata, Reference Data, Power BI, SQL Databases, Data Streaming, Systems Integration, Azure Data Factory, Snowflake, Information Technology, Data Analytics, Apache Kafka, Data Management
- **Published:** October 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ffad8f59793b56eb

## About the Role

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., 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 and Casualty insurance industry is required, particularly within Personal Auto 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 coordinating testing, data validation, defect resolution, and stakeholder approval is required.
Experience supporting enterprise data solutions involving technologies such as Azure data services, Snowflake, Airflow, Kafka, Fivetran, or Power BI is required.
Experience managing multiple stakeholders, requirements, risks, dependencies, assumptions, and competing priorities.
Experience mentoring analysts, delivery partners, or business stakeholders on data practices and requirements standards.

Other skills and abilities:

Advanced skills in requirements elicitation, data analysis, process mapping, user story development, and acceptance criteria.
Advanced proficiency with SQL and working knowledge of relational and dimensional data concepts.
Ability to create clear visual representations of data flows, system integrations, lineage, platform interactions, and business processes.
Working knowledge of data quality, metadata, lineage, master and reference data, reporting requirements, security classifications, and data governance.
Strong facilitation and stakeholder-management skills, with the ability to align business and technical teams.
Ability to translate complex data and technology concepts into clear, actionable business language.
Strong problem-solving and decision-making skills, including the ability to identify risks, dependencies, data issues, and control requirements early in the delivery process.
Ability to influence without direct authority and guide cross-functional teams toward shared outcomes.
Strong written, verbal, presentation, and mentoring skills.

## Description

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.