Top Data Analyst Jobs in Austin, TX

Analyze supply chain and supplier performance data, build KPI dashboards and scorecards, support AS9100 documentation, drive process improvements, support supplier escalations and new product launch planning to improve efficiency, scalability, and cost.

Lead the build-out of financial data infrastructure and automated reporting: design Snowflake-based warehouses, author SQL and dbt transformations, manage Pigment planning data, automate revenue workflows, use Python and AI for forecasting, create executive dashboards (Looker, HEX), and deliver ad-hoc strategic and M&A analytics to senior leadership and cross-functional partners.

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 performance dashboards, network capacity modeling, and generating actionable insights for third-party service providers. Drives testing and pilots, analyzes stakeholder feedback, and serves as an internal analytics subject-matter expert to inform network strategy and operational improvements.

Support Finance and Sales by reconciling and validating revenue KPIs (ACV, ARR, renewals), building reporting datasets and dashboards, collaborating with CRM and data engineering teams, and participating in month-end and quarter-end close activities. Provide ad-hoc analysis and stakeholder-facing explanations of metric derivation and data quality.

Maintain and automate marketing performance reporting, build actionable Power BI dashboards, query and integrate data from ad platforms and CRMs, detect anomalies, and provide insights on CTR, CVR, ROAS, attribution, and testing to support paid media and SEO teams.

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.

Work with large game datasets to measure and improve VIP engagement, campaign effectiveness, and player support. Build data models, dashboards, and analyses; collaborate with game analysts, product teams, and stakeholders to provide insights and ad-hoc reporting to optimize player outreach and satisfaction.

Lead measurement and analytics for Spotlight Listings: define KPIs and instrumentation, build SSOT dashboards, model inventory capacity, design marketplace experiments, own revenue and activation reporting, ensure data quality, and partner with Product, Sales, and Marketing to inform pricing and renewal strategies.

Lead Avail analytics by building KPI frameworks, automated dashboards, and end-to-end analyses. Partner with stakeholders to define needs, source data, perform ETL/EDA, generate insights, and inform strategy across product, marketing, operations, and finance.

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.

Build and maintain operations-focused dashboards and analyses to drive process improvement, quality, and efficiency. Integrate data from ADP, Smarteeva, and other sources; perform statistical analysis; present insights to leadership; partner with Technology and Process Engineering to support automation and monitor operational changes.

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.

Turn utility customer data into actionable insights by building dashboards, performing bespoke analyses, validating outputs, and supporting customer engagements. Partner with power engineers, data engineers, and product to ensure data quality, translate findings for stakeholders, and turn repeatable analyses into product features while improving delivery tooling and processes.

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

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

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.

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

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.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

Lead customer analytics to inform acquisition, retention, and reactivation. Build segments, maintain BI dashboards, track marketing KPIs and A/B tests, and partner with cross-functional teams to translate insights into marketing and product strategies.

Collaborate with business teams to define analytics needs, explore and analyze operational and financial data, build forecasts and regression models, and create dashboards and visualizations. Communicate insights to leaders, support decision-making, contribute to data modeling, metadata, quality remediation, and adhere to data governance, security, and privacy standards.

Lead product analytics for usage, activation, adoption, retention, and expansion. Define metrics, improve instrumentation, build reusable measurement frameworks, apply AI-first analytics workflows, design experiments and observational analyses, create monitoring/alerting, surface insights to influence product decisions, and mentor analysts.

The role involves building and scaling a Closed-Loop Design Program that enhances pre-sales engineering through data science and analytics in supply chain automation.

Design and implement BI solutions: build data models, automations, ETL/ELT workflows, dashboards, and ad-hoc analyses. Monitor and analyze RF/video performance using Dataminer/Qligent or similar tools. Collaborate with cross-functional teams, document requirements, and deliver actionable insights to optimize hybrid terrestrial and satellite video delivery.