Top Business Intelligence Jobs in Austin, TX

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

Lead GTM strategy and analytics to build headcount/capacity models, territory optimization, quota setting, predictive models, and BI reporting. Partner with Sales, Marketing, Finance, and Data to inform planning cycles, monitor pipeline and productivity, and deliver executive-level insights for growth and investment decisions.

Lead data product strategy and governance for customer-facing reporting within Managed Services. Own reporting product roadmap, data quality, standards, delivery platforms (Redwood Insights, BI, Snowflake, Excel), implementation readiness, and cross-functional alignment to scale trusted, automated customer analytics and reduce manual reporting.

Lead design and implementation of process and system improvements, perform data analysis and queries, produce BI reports, gather requirements, coordinate projects, and provide analytical insights to support healthcare business decisions. Work with databases, reporting tools, EPIC, Tableau and SAP, and communicate across organizational levels.

The AVP, Data Reporting Manager leads enterprise Business Intelligence strategies, oversees Tableau Cloud, and collaborates with teams to provide AI-driven analytics and governed data solutions.

The Business Strategist will align client strategies with data analysis solutions, managing projects and analytics to provide insights and recommendations for business growth.

The Power BI Developer will build data analytics models, develop reports and dashboards using Power BI, and assist users with data requirements. Collaborate within an agile team and work with government personnel on technical support initiatives.

Lead global BI strategy, governance, platform modernization, and adoption across corporate and manufacturing functions. Own Microsoft Fabric and Power BI ecosystems, enable self-service analytics and semantic models, drive AI-enabled BI (Copilot), manage teams, and influence executive stakeholders to deliver governed, scalable analytics solutions and measurable business value.

Lead complex BI projects to define KPIs, build internal and client-facing Tableau/Power BI dashboards, enforce documentation and metric consistency, perform data analysis and profiling, create BI strategy and roadmaps, mentor junior analysts, and present insights to cross-functional and executive stakeholders.

The Market & Business Intelligence Manager will lead analytics strategies, manage a team of business analysts, and provide insights to support firm strategy and decision-making.

The Market & Business Intelligence Analyst conducts research on clients and competitors, analyzes data for strategic initiatives, and supports business development efforts.

Build and maintain BI dashboards and KPI reporting for manufacturing, supply chain, quality, and fulfillment. Create internal tools and workflow automations, integrate APIs and business systems, and consolidate ERP/MES/PLM data into unified operational reporting tied to recurring decisions.

Own end-to-end marketing and business intelligence: build automated dashboards (Domo), query large datasets (SQL/Snowflake), report subscription funnel economics, analyze channel performance and A/B tests, troubleshoot data anomalies, and partner with leadership to set KPIs and prioritize analytics work.

Support and develop BI applications for a client financial platform across environments. Build reports, analytics, and budgeting solutions (TM1), develop/tune Oracle SQL/PLSQL, deploy BI tooling, support UIs (low-code), follow Agile practices, and collaborate on integrations, security hardening, and operations.

Lead cross-functional analytics to inform clinical and operational decisions: build Tableau dashboards, create dbt analytical models, analyze large healthcare datasets (claims, EHR, HIE) with SQL, respond to ad-hoc requests via JIRA, and collaborate with product and engineering to improve data capabilities.

Design, develop, and maintain enterprise Power BI dashboards and reports. Integrate data from SQL Server, Azure, Excel and other sources, perform data modeling and DAX calculations, validate data, and document data models and reporting logic while partnering with business stakeholders.

Lead BI & analytics delivery for clients: manage BI analysts, oversee data mapping, governance, tabular models, dashboards, and reporting. Partner with clients and engineering to develop analytics roadmaps, optimize Power BI models, automate data workflows, and drive platform-scale BI solutions.

Design, maintain, and automate GTM business data models, ensure data quality and observability, build BI-as-code pipelines (CI/CD, Git), create visualizations, and partner with Sales, Marketing, Finance, and Product to enable reliable reporting, analytics, and AI capabilities.

Build governed gold-layer data models and a single-source metrics layer in Snowflake (dbt); create and optimize dashboards in enterprise BI tools; use AI coding agents and AI-assisted tooling to accelerate development; ensure data quality, governance, and consistency; collaborate with data engineering and stakeholders to deliver trusted analytics for internal and client-facing use.

Analyze healthcare and operational datasets to create, validate, and maintain reports and dashboards using SQL, Excel, and BI tools. Support utilization, cost containment, regulatory reporting, and ad hoc analyses. Collaborate with stakeholders to define requirements, document workflows, and deliver actionable recommendations.

Lead design, development, automation, and maintenance of BI products for Health & Wellness. Build dashboards, datasets, semantic layers, and standardized reports using SQL and SAS, partner with stakeholders to translate requirements, ensure performance and governance, optimize BI solutions, document definitions, and train teams while supporting cloud/AI initiatives.

Lead design, development, automation and maintenance of BI products (dashboards, datasets, semantic layers). Translate stakeholder requirements into governed, performant BI solutions using SQL, SAS and BI tools; optimize performance, document metrics, apply access controls, and train teams to drive adoption and measurable business outcomes.

Lead design, development, automation and maintenance of BI products (dashboards, datasets, semantic layers). Use SQL/SAS (and Python) for data validation, optimize BI performance, translate requirements into technical solutions, document metrics, apply security rules, and consult stakeholders to drive measurable business outcomes across DV&L platforms.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.