Top Data Analyst Jobs in Austin, TX

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.

Build and maintain dbt models, write SQL to investigate and validate data, implement data quality checks, document lineage and metrics, resolve production issues (including on-call), and partner with analysts and business teams to deliver production-ready data products using modern warehouse tooling and AI-assisted frameworks.

As a Staff Data Analyst, you'll drive data analysis, build business intelligence tools, and collaborate across teams to optimize Upstart's servicing strategy, while mentoring junior analysts.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

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 Senior Revenue Operations Analyst will enhance GTM data quality, integrate 3rd party data into CRM, and solve data issues collaboratively with various teams.

Deliver analyses, dashboards, and datasets that inform GTM and Operations. Build and maintain BI dashboards, perform ad hoc analyses, enable self-serve analytics, and collaborate with data/engineering using modern data stack tools.

Support Business Enablement & Insights by building dashboards, analyzing portfolio and partner performance, diagnosing drivers across growth and insurance (retention, underwriting, claims), partnering with stakeholders and data engineering to improve data quality, and delivering executive-ready insights, forecasts, and recommendations to drive profitable growth and operational efficiency.

The Data Analyst will develop data analytics solutions, maintain data integrity, perform ad-hoc analysis, and support cross-functional data requirements.

Design and maintain dbt models in Snowflake, build executive dashboards, perform deep-dive analyses, ensure data quality and governance, and translate ambiguous business questions into actionable insights.

Own BI analytics using a modern data stack to generate insights, build dashboards and self-serve tools, partner with stakeholders, and deploy AI-driven reporting and natural-language query solutions.

As a Principal Analyst in Growth Marketing, you will lead analytics for acquisition channels, applying advanced analytical techniques to drive business growth and improve marketing performance while collaborating across teams.

The Senior Product Analyst II will analyze product performance, define KPIs, partner with teams, and drive insights for business decisions.

As a Data Analyst Intern at Integra, you will analyze fraud, automate processes, and work with large datasets using R, Python, and SQL.

The Data Strategy & Sourcing Analyst transforms product data into a strategic asset, ensuring data integrity and driving cost savings through sourcing. Responsibilities include establishing a Single Source of Truth, conducting data analysis, and collaborating with teams for financial impact. The role requires strong analytical skills, proficiency in SQL, and experience with data management tools.

Participate in implementing a new state education data repository: analyze source data, create source-to-target mappings, and develop views and stored procedures. Assist application teams by designing databases from business requirements using enterprise data modeling best practices.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

The role involves transforming data into insights, conducting analysis, building data models, and collaborating with marketing teams to optimize campaigns. Strong skills in SQL, Python, and data visualizations are essential.

Lead delivery for Billing and Data teams, manage backlogs, conduct UAT, ensure releases meet standards, and maintain platform knowledge.

Prepare, validate, and maintain member data lists in Snowflake for email, SMS, and print; build automated data quality checks; manage suppression and PHI-related compliance; document transformations; partner with Marketing Operations and centralized Data to resolve issues and support audits and ad-hoc reporting.

Lead and enhance Stripe's analytics infrastructure by setting standards, solving complex data challenges, improving data quality, and driving technical vision across teams.

Support financial data processing and reporting using SQL, SSRS, and Power BI; design BI reports and dashboards; analyze and automate business systems; write specifications and technical documentation; collaborate across finance, IT, operations, and legal to improve and scale processes.

Own and build the support reporting layer: ticket volume, SLA, resolution times, CSAT/CES/sentiment, and capacity. Produce dashboards and analyses for leadership and engineering, maintain data quality and governance, prioritize issues using multi-signal models, and surface Voice of Customer trends to close the loop with Product and GTM.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.