Top Senior Data & Analytics Jobs in Austin, TX

Lead and grow a data engineering team that designs, builds, tests, and operates large-scale data pipelines and warehouses. Partner cross-functionally to translate requirements, ensure data quality, observability, SLAs, security, and governance, and drive automation and performance for analytics, ML, and product use cases.

The Senior Revenue Operations Analyst will enhance GTM data quality, integrate 3rd party data into CRM, and solve data issues collaboratively with various teams.

Drive Zynga Poker product decisions through experiments, analytics, ETL, and dashboards. Analyze player behavior, support economy tuning, enhance fraud detection models, and collaborate with product and design teams. Build and maintain telemetry, BI pipelines, and visible dashboards while contributing to analytics automation and AI/LLM initiatives.

As a Lead Data Engineer, you will design scalable data platforms, optimizing pipelines, defining data models, and guiding data integration while collaborating with cross-functional stakeholders to align strategies with business goals.

Analyze user behavior data to identify friction points, recommend changes for conversion optimization, and collaborate with teams to improve user flows through data-driven insights.

Lead the development and implementation of data architecture strategies, mentor a team to deliver solutions, and collaborate with stakeholders to enhance resources while ensuring project success and quality outcomes.

The Lead Product Analyst role involves driving insight strategy, building data models, performing large-scale data analysis, and influencing product direction by presenting findings to leadership.

Provide functional support for JD Edwards EnterpriseOne applications, focusing on inventory and distribution while enhancing workflows and user training.

Manage the Data Lake engineering team at Apex Fintech Solutions, driving technical initiatives, collaborating with stakeholders, and ensuring scalable data solutions. Responsibilities include team leadership, Agile facilitation, technical strategy, risk management, and establishing best practices in data engineering.

The Senior Director will design and govern the enterprise-wide data architecture, lead the analytics team, and ensure data reliability for scalable decision-making across various functions.