Top Data & Analytics Jobs in Austin, TX

The Head of Client Reporting Platform will design and lead the development of a cloud-native reporting platform, mentor the engineering team, drive technical strategy, and ensure robust integrations while embedding AI and automation.

Entry-level role responsible for researching, creating, cleaning, and managing contact lists for EBQ and clients. Meet monthly targets, maintain data accuracy, use Excel/Google Sheets and online tools, work collaboratively, follow company policies, and perform additional assigned duties.

The Business Analyst facilitates Agile processes, gathers and documents requirements, maintains project backlogs in Jira, and coordinates with technical teams to ensure timely delivery of system enhancements.

The Senior Financial Analyst will oversee financial planning and marketing analytics, driving subscriber growth through data analysis and strategic budget allocation. Responsibilities include financial modeling, ROI analysis, and collaboration with marketing to optimize investments and inform strategic decisions.

The role involves developing Power BI reports, building analysis models, transforming data, and applying security in reports. Strong communication and analytical skills are essential.

The Pricing Director develops and implements pricing strategies, collaborates with various departments for financial success, and analyzes market conditions to optimize profitability.

The Business Intelligence Engineer 2 handles data analysis, develops reporting systems, creates data models, and presents insights to support decision-making.

The Lead Business Intelligence Engineer implements best practices for data analysis, develops technical solutions, ensures compliance, and leads team mentoring within the healthcare industry.

The Analyst, Payments Risk- Shadow Risk Monitoring conducts merchant onboarding, risk reviews, and oversight of merchant risk monitoring while communicating with internal teams and clients.

The Senior Workday Reporting and Analytics Analyst creates reports and dashboards, ensures data quality, and provides insights to support HR decision-making.

The Data Scientist will work with the team to build and optimize models, interpret data, and support product development using massive data sets for advertising effectiveness.