Top Data & Analytics Jobs in Austin, TX

Senior Data Engineer on PwC's Managed Data, Analytics & Insights team to design, build and manage advanced data ecosystems. Responsibilities include designing data solutions and scalable pipelines, solving complex problems, mentoring junior staff, maintaining high delivery standards, and building client relationships while aligning solutions to business context.

Lead data architecture, reporting platform, and product catalog strategy for the Xtime fixed-ops portfolio. Translate business needs into data models, integrations, ETL, and reporting solutions; define standards, reference architectures, and governance; own reporting platform architecture and proofs of concept; collaborate across product, engineering, and stakeholders to align roadmaps, non-functional requirements, and delivery for scalable, secure data and catalog systems.

Lead data collection, cleaning, and analysis to support FY planning, territory segmentation, quota setting, forecasting, and reporting for Renewals and BDR teams. Build dashboards, automate processes, create single sources of truth, and deliver executive-level insights and ad-hoc analyses across orgs.

As an SEO Analyst, you will analyze data to improve SEO strategies, provide performance reports, and collaborate with teams to enhance user experiences and brand visibility.

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

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.

Design, build, and productionize batch and streaming ETL/ELT pipelines and ML workflows on Azure Databricks. Implement Unity Catalog data products, MLflow model lifecycle controls, CI/CD for data/ML artifacts, and operational monitoring. Partner with cross-functional teams to modernize legacy workflows into scalable, production-ready solutions.

Run and analyze product experiments, define product metrics and telemetry for web and mobile, build funnel/retention/cohort analyses using SQL and Python on Snowflake, maintain Omni dashboards, create AI-agent workflows to automate routine analysis, and translate findings into clear product recommendations alongside PMs, designers, and engineers.

The Staff Data Engineer will lead design and implementation of analytics platforms and data products, collaborate cross-functionally, mentor engineers, and drive best practices at Upside.

Design, build, and maintain scalable data pipelines and cloud data infrastructure (warehouse, RBAC, validation). Collaborate with data scientists and engineers, orchestrate ML pipelines, ensure data quality/security, optimize cost and performance, lead incident response and mentor teammates.