Top Data Analyst Jobs in Austin, TX

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 Lead Data Analyst will define KPIs, analyze data trends, build dashboards, and support new product launches, requiring strong SQL and Python skills.

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

The Data Analyst will perform analytics to support client deliverables, automate processes, and partner with product teams to enhance solutions.

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

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

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

The Data Analyst will collect, clean, and analyze data to support business decisions. Responsibilities include creating reports and dashboards and presenting insights to stakeholders.

The Sr. Data Protection Analyst will build and manage a data protection program, oversee DLP and eDiscovery technologies, and work with technical and legal teams.

The Data Analyst is responsible for acquiring, managing, and evaluating data, overseeing data operations, and developing reports based on findings across departments.

As a Data Analyst at GigSafe, you'll manage data pipelines, analyze data using Python and SQL, and convert insights into actionable business decisions in a collaborative environment.

Manage and analyze healthcare and customer data across systems; validate and reconcile claims, enrollment, and roster files; build dashboards and customer-facing reports; support data movement (Salesforce, Healthie), identify automation opportunities, and partner with cross-functional teams to document workflows and drive analytics.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Perform structured data conversion, cleansing, validation, and mapping for system implementations. Execute validation scripts, support UAT, document discrepancies, reconcile legacy and converted data, and escalate anomalies to senior consultants while maintaining organized records and templates.

The Data Analyst will support operational reporting and stakeholder needs, working with SQL and Artiva to meet business requirements through data and reporting solutions.

Own support analytics for User Operations: build dashboards and recurring reports, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support to product/customer data, quantify operational costs of bugs, and measure AI-driven support performance.

Build and maintain marketing dashboards and reporting frameworks, analyze multi-source marketing data to identify trends and opportunities, develop measurement and attribution approaches, ensure data quality and metric alignment, and deliver actionable insights and ad hoc deep-dive analyses to inform campaign optimization and marketing investment decisions.

Drive customer experience improvements by analyzing support operations, surveys, transcripts, and Voice of Customer metrics (NPS, CSAT). Integrate feedback with transactional and behavioral data, perform root-cause and statistical analyses, build reports and visualizations, partner with cross-functional teams to recommend and measure improvements, and apply AI/ML and data storytelling to communicate insights.

Data Analyst Level II responsible for analyzing data, generating reports, and providing insights based on findings. Flexible shifts available.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

The HR Data Analyst will develop Workday reports, perform audits, improve data quality, and support HR operations and reporting needs.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Analyze large claims datasets to produce client-ready reports and deep-dive analyses supporting PBM client onboarding, risk assessment, and member transition. Communicate findings to internal teams and external partners and prepare deliverables for operations.

Own sourcing, validating, and preparing PHI-containing member lists in Snowflake for email, SMS, and print. Build automated data-quality checks, manage suppression and opt-out logic, document transformations for auditability, and partner with Marketing Operations and centralized Data to ensure compliant, accurate communications and resolve upstream data issues.