Top Data & Analytics Jobs in Austin, TX
As a Quality Engineer, you'll assist in monitoring product and process quality, investigate quality issues, and coordinate improvement initiatives using data analysis. You will measure performance through KPIs, maintain dashboards, analyze trends, and ensure data integrity in a cross-functional environment.
The Lead Data Engineer will manage and mentor a data engineering team to deliver data solutions for clients. Responsibilities include overseeing data pipeline development, ensuring client integrations, applying data best practices, and managing project timelines while contributing hands-on to technical decision-making and code reviews.
The Senior Manager, Analytics & Insights will lead the data pulling and reporting processes, create actionable insights from data analysis, and guide clients through findings. They will help establish the Analytics & Insights team and recommend tools while collaborating with marketing and PR teams.
The Senior Data Engineer at Varsity Brands will design, build, and manage data pipelines, working with stakeholders to identify data sourcing needs and provide scalable data solutions while ensuring efficient pipelines and troubleshooting issues as they arise.
The Data Engineer II will design, develop, and support data integration and ETL projects, mentor other data engineers, and ensure the quality of BI data. Responsibilities include data profiling, logical/physical modeling, performance tuning, and collaborating with offshore teams on development tasks.
The Lead Data Engineer will create and maintain data pipelines, handle complex data transformations, and collaborate with development teams. Responsibilities include optimizing queries, automating processes, and improving data systems. The role requires troubleshooting and incident resolution while providing leadership to the team.
The Web Analyst will lead data-driven decisions for brand websites by monitoring KPIs, analyzing conversion funnels, generating reports, and collaborating with media teams to assess campaign impacts. The role includes ensuring accurate data tracking and presenting actionable insights to senior leadership.
The Principal Analytics Engineer at Americor will bridge data engineering, data science, and business intelligence, driving analytics innovations. Responsibilities include building and deploying automated machine learning models, conducting audits for best practices, and delivering impactful analytics solutions through advanced reporting and statistical experimentation.
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As a Senior Data Scientist, you will translate complex business questions into quantitative analysis, enable data-driven decisions, and develop visualizations. Responsibilities include aggregating data with SQL, supporting ETL processes, and building dashboards to inform product and operational teams. Strong analytical and communication skills are essential.
As a Quantitative Researcher at Monad Labs, you will develop predictive models addressing blockchain performance and user/system behaviors. You will tackle challenging problems through creative solution development and prototype various approaches, ultimately delivering production-grade solutions and managing prediction pipelines.
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