Top Edtech 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 Data Analytics & Insights Manager drives the development and delivery of scalable data products for GTM decision-making, engaging with stakeholders to create insightful dashboards and metrics through Tableau and BI governance.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

The Director, Product Analytics & Strategy will lead market expansion, define product strategy, analyze market opportunities, and drive cross-functional collaboration to shape product direction and company growth.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

The Workday Finance Analyst supports financial operations, configures Workday Financials, enhances workflows, manages projects, and provides user support to ensure efficient finance processes.

The Data Platform Engineer will build and operate scalable data infrastructure, design efficient ETL pipelines, and mentor team members while collaborating with product managers and engineers.

The Data Scientist will lead quantitative research projects, manage datasets, mentor junior analysts, and translate findings into actionable insights for clients.

The Lead Data Scientist will build pricing systems, lead experiments, mentor teammates, and influence strategy across various departments based on data-driven insights.

The Data Analytics Consultant analyzes workforce data using proprietary software, helps clients with compliance, ensures data quality, and manages projects effectively.