Top Data Analyst Jobs in Austin, TX

Provides senior technical administration and support for clinical research applications, data integrations, analytics, reporting, and validated systems. Develops data pipelines, dashboards, data models, APIs, scripts, and workflow enhancements using platforms including OnCore, REDCap, Power BI, Microsoft Fabric, and Snowflake. Leads 21 CFR Part 11 validation, testing, compliance documentation, technical projects, user training, and issue resolution. Collaborates with clinical research, oncology, information services, and vendors while mentoring analysts and research personnel.

Manages clinical trials data applications, pipelines, integrations, cloud data architecture, reporting, and informatics structures. Develops schemas, custom reports, data transformations, and visualizations; supports OnCore, eRegulatory systems, REDCap, Snowflake, Fabric, and APIs. Collaborates with technical teams, clinical research staff, leadership, and vendors; provides training, documentation, application support, data quality oversight, and technical leadership for datamart development and reporting initiatives.

Supports risk portfolio programs through strategic project planning, data analysis, dashboard development, process automation, vendor and ROI management, governance, and audit documentation. The role partners with risk analysts, data scientists, Product Management, Engineering, and other stakeholders to identify risk indicators, design controls, improve workflows with AI tools, and communicate actionable insights across credit, fraud, and reputational risk initiatives.

Analyze business data using SQL, BigQuery, Tableau, Python, and related tools to identify trends, build dashboards, maintain KPIs, and deliver actionable insights. Translate ambiguous business questions into reporting, automation, AI-powered workflows, and technical solutions. Partner with technical and business stakeholders, improve data quality and storytelling, and explore emerging AI technologies such as agentic workflows and LLM-powered automation.

The Senior Data Analyst will develop and improve Sigma dashboards, reporting, and business intelligence capabilities. Responsibilities include gathering stakeholder requirements, querying and analyzing complex datasets with SQL, improving data quality and governance, defining metrics, automating reporting processes, and partnering on Snowflake data modeling and warehouse improvements. The role also evaluates analytics tools, delivers actionable insights, and communicates findings to technical and non-technical audiences.

Monitors, validates, and improves data quality across device, program, operational, and field sources. Designs automated checks, reconciles discrepancies, investigates root causes, documents findings, and communicates impacts and recommendations. Collaborates with analytics, engineering, MEAL, and country teams to resolve issues. Maintains reproducible analyses using SQL, programming, version control, and notebooks while supporting data governance, reporting standards, and responsible handling of sensitive information.

Maintains data governance and quality across mission systems by validating sources, managing metadata and data dictionaries, reconciling metrics, performing profiling and cleansing, documenting lineage, and supporting cross-system harmonization. The analyst collaborates with reporting teams, dashboard developers, data owners, and PMO leadership to ensure accurate, standardized, compliant enterprise reporting.

Leads Gartner research and thought leadership on data management for AI enablement. Provides expert guidance on data platforms, governance, context-layer architectures, AI integrations, and secure enterprise infrastructure. Develops market insights, advises executive clients, delivers presentations, supports sales, reviews content, mentors analysts, and improves research processes. Requires strong research, writing, analytical, presentation, communication, business, and technical skills, with up to 25% travel.

Designs and owns analytics solutions for business stakeholders, including dbt data models, advanced SQL transformations, data quality controls, semantic layers, Looker and Power BI dashboards, and automated reporting. Performs exploratory and root-cause analysis across revenue, sales, retention, margin, and operations; reconciles results with finance systems; documents metrics and lineage; and supports BI platform modernization and post-merger integration. The role requires strong stakeholder communication, analytics engineering, cloud data platform expertise, and production-quality development practices.

The Data Governance Analyst administers data governance platforms and processes, including enterprise data catalogs, Databricks Unity Catalog, metadata, lineage, data stewardship, MDM, privacy compliance, and data quality initiatives. The role leads catalog roadmaps, supports Osano, coordinates with data owners and engineering teams, monitors governance adoption and metrics, and develops scalable governance standards and procedures.

Analyze and reconcile operational data across ServiceNow and other program sources; develop Excel dashboards, reports, and executive PowerPoint presentations; investigate workflow and data discrepancies; maintain SharePoint and Microsoft 365 information systems; document processes; and support program leadership with accurate, repeatable reporting and operational improvements.

Provides data management, database administration, performance reporting, QA/QC, and analytical support for NOAA environmental restoration programs. Develops Power BI dashboards, reports, data models, and visualizations; supports Power Apps, Dataverse, database processes, testing, and user acceptance. Translates program needs into technical requirements, documents business rules and procedures, trains users, troubleshoots data issues, and analyzes performance trends. Requires collaboration with program staff, project managers, leadership, and technical developers, with occasional travel and periodic on-site meetings.

Analyze healthcare and clinical operations data to deliver actionable customer insights, physician performance reporting, care-quality dashboards, and scalable BI solutions. The role requires SQL-based data transformation, dashboard development, collaboration with clinical, product, engineering, and client-facing teams, and clear communication of findings. The analyst will also use AI tools for query generation, data cleaning, pattern recognition, and analytical summaries.

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.

Build network capacity and demand forecasts across 50 states, support clinician recruitment and retention analytics, measure clinical and scheduling outcomes, and design experiments with Product and Engineering. Develop governed data models, KPI definitions, and AI-powered analytics infrastructure. Serve as the primary analytics partner for Network leadership by translating complex, multi-source data into actionable recommendations and presenting insights to technical and executive audiences.

The Data Governance Analyst will develop data standards, conduct quality assessments, maintain documentation, collaborate with teams, and participate in training on governance practices.

Provides senior-level data analysis, compliance reporting, qualitative and quantitative research, business intelligence, dashboards, and program measurement for the Personal Financial Counselor financial disclosure and conflict-of-interest program. Tracks certification, readiness, onboarding, and workforce metrics; identifies trends and risks; develops executive reports and actionable recommendations; supports audit readiness, process improvement, and cross-functional program decision-making.

Owns global workforce dashboards, reporting products, analytical data models, and executive-ready insights. Integrates HR, finance, IT, recruiting, payroll, and engagement data to analyze workforce trends, retention, costs, performance, and organizational health. Partners with cross-functional stakeholders to define metrics, improve data quality and governance, automate reporting, and translate complex findings into actionable business recommendations while protecting confidential employee information.

Analyze supply chain business processes and large datasets to identify gaps, improvement opportunities, and actionable insights. Build data visualizations, present findings, catalog data sources and metrics, and support integrated data architecture. Automate complex processes to streamline operational workflows and improve data-driven decision-making.

Operate and improve data pipelines supporting construction equipment intelligence. Monitor scrapers and data feeds, diagnose failures, maintain quality gates, manage public-records acquisition and vendor relationships, and conduct SQL-based analysis for dealers and founders. Perform lead-quality reviews, document data sources, coordinate county outreach, and identify silent data failures. The role requires strong SQL, Python, spreadsheet, operational, communication, and AI-assisted workflow skills in an autonomous startup environment.

Develops scalable data models, dashboards, reports, and analytical solutions that support business decisions. Partners with stakeholders to translate requirements, ensures data accuracy and usability, provides technical guidance to end users, documents architectures and processes, and communicates findings to technical and non-technical audiences. The role requires advanced Spotfire, SQL, and business intelligence experience, plus familiarity with modern data platforms and AI-assisted development tools.

Own regulatory analytics and reporting by building audit-ready datasets, dashboards, data models, pipelines, governance controls, and compliance automations. Analyze complex financial and compliance data, support audits and risk assessments, monitor data quality, and translate regulatory requirements into reliable reporting solutions using Python, SQL, dbt, and Airflow. Partner with engineering, analysts, compliance teams, and leadership to deliver actionable insights and improve regulatory processes.

Analyze contributor performance, dataset quality, production efficiency, and client delivery metrics. Build dashboards and reports, conduct cohort and trend analysis, monitor quality benchmarks, identify data integrity issues, and translate findings into actionable recommendations. Collaborate with Data Operations, Engineering, Product, and Quality Assurance teams to define metrics and evaluate improvements.

Manages eligibility and accumulator file exchanges with TPAs, including SFTP administration, automation, monitoring, reconciliation, and discrepancy resolution. Serves as the operational liaison for business teams and external partners, leads impact analysis and proactive issue communication, maintains dashboards and documentation, and delivers data operations projects. Develops AI-assisted tools while ensuring secure handling of HIPAA-protected data.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.