Top Data & Analytics Jobs in Austin, TX

Design and lead scalable data and AI architectures, build and maintain data pipelines and warehouses, ensure data quality, governance, security, and performance, troubleshoot production issues, collaborate with stakeholders, and drive technical decisions and proofs-of-concept.

Lead SOX compliance for Snowflake environments: implement and manage ITGCs, RBAC, access reviews, change management, auditing/logging, disaster recovery, and technical audit evidence. Coordinate with Finance, Data Governance, and engineering to embed controls, support audits, and align SOX with CCPA and broader governance.

Lead Avail analytics by building KPI frameworks, automated dashboards, and end-to-end analyses. Partner with stakeholders to define needs, source data, perform ETL/EDA, generate insights, and inform strategy across product, marketing, operations, and finance.

Lead cross-functional pricing strategy and monetization analytics. Build SQL-based pricing models and simulations, run experiments, conduct competitive benchmarking, partner with Sales/Product/Finance, and translate insights into recommendations for senior leadership to drive revenue.

The Principal Data Engineer will lead the technical strategy for data initiatives, focusing on real-time data platforms and collaboration with stakeholders to design efficient and innovative data architectures, ensuring data governance and compliance.

Lead analytics for lead intelligence and revenue optimization: develop forecasting, modeling, and simulation to prioritize lead inventory, recommend allocation rules, build KPIs, and partner cross-functionally to implement rules and drive revenue outcomes.

Lead day-to-day operations and reliability of the Snowflake data platform; build monitoring and incident response frameworks; ensure SLA performance; transition platform operations to a scalable practice; maintain operational documentation; escalate and resolve issues; partner with engineering, product, and business stakeholders; coach and guide engineering teams.

Lead design and implementation of digital analytics tracking across web and mobile, create tracking specs and governance, perform QA and data validation, troubleshoot tracking/data discrepancies, maintain tag manager governance, and collaborate with product, marketing, and engineering to align clickstream data with business KPIs.