Hybrid Data Platform Analyst III — Discovery Lead

GAINSCO Auto Insurance®; EUA; Híbrido; USD 110 000 - 140 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Excellent benefits package (medical,-d

Parental Leave Policy

401K + Company Match

PTO Plan + Holidays

Resumo da oferta

GAINSCO Auto Insurance is seeking a Data Platform Analyst III to translate complex business needs into clear data requirements and enterprise solutions. You will partner with Data Engineering, Architecture, Governance, and Analytics teams to support data initiatives from discovery to deployment.

Responsibilities include leading discovery sessions, documenting data flows, managing requirements backlogs, coordinating testing, and mentoring analysts to raise data literacy and standards across the

Qualificações

• Experience in business analysis and data platform delivery.
• Experience with data integration, analytics, and reporting requirements.
• Proficiency in SQL and data concepts; ability to translate requirements into specs.

Responsabilidades

• Lead discovery sessions translating business needs into requirements and acceptance criteria.
• Collaborate across business and technical teams through design, development, testing, and deployment.
• Document data flows, lineage, quality expectations, and reporting requirements.

Conhecimentos

Data analysis

SQL

Stakeholder management

Mentoring

Formação académica

Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Business

Ferramentas

Azure data services

Snowflake

Airflow

Kafka

Power BI

Descrição da oferta de emprego

GAINSCO Auto Insurance is seeking a Data Platform Analyst III to translate complex business needs into clear data requirements and enterprise solutions. You will partner with Data Engineering, Architecture, Governance, and Analytics teams to support data initiatives from discovery to deployment.

Responsibilities include leading discovery sessions, documenting data flows, managing requirements backlogs, coordinating testing, and mentoring analysts to raise data literacy and standards across the