Top Entry Level Data & Analytics Jobs in Austin, TX

As a Product Data Analyst, collaborate with cross-functional teams to analyze product usage data, define KPIs, and support data-driven decisions to enhance customer experience and product performance.

Maintain and improve eligibility and claims data feeds, analyze feed performance and errors, troubleshoot discrepancies, work with external feed providers to map and test integrations, and help improve internal tools, documentation, and processes.

The Applied Data Scientist will ensure data quality and integrity by preparing, cleaning, and transforming data, building models, and collaborating across teams to address business challenges.

As a Quantitative Researcher, you'll build and analyze statistical models, manage research processes, and optimize quantitative code while solving complex problems in financial markets.

Join Freddie Mac's Multifamily Underwriting team to evaluate and underwrite multifamily loans, collaborating with partners to assess credit risk and prepare investment briefs.

The Actuarial Assistant will support regulatory filings, documentation management, and provide analytical support while learning about actuarial practices.

The ALM Reporting Analyst will support Capital Management teams by preparing reports, tracking performance metrics, and communicating with stakeholders regarding credit lines.

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.

Evaluate and rate search results in Simplified Chinese to improve search engine quality and augment AI data. Complete weekly tasks remotely (10–25 hrs/week), follow client rules and conventions, pass training and quality tests, and sign an NDA.

The Payor Data Analyst manages client data, ensures data quality, runs reports, and collaborates with teams to improve data fidelity.