Top Business Intelligence Jobs in Dallas, TX

Leads data analysis strategy and manages junior analysts while mining large datasets, building and validating models, improving processes and reporting, evaluating products and marketing initiatives, and supporting data and storage system design. The role requires strong programming, business intelligence, data governance, and analytical leadership skills in a financial services environment.

Design and build PerfectServe’s unified cloud data platform, including ingestion pipelines, integrations, data models, metrics, and consumer-facing data layers. Establish architecture, engineering, quality, and testing standards; enable safe extraction from production systems; partner with data users; and mentor data engineers. The role requires substantial cloud data platform experience, deep SQL, warehouse expertise, ELT, change-data-capture, AWS, modeling, orchestration, and data quality skills.

Lead and scale Runpod’s analytics and business intelligence function, managing analysts and BI practitioners while setting the analytics roadmap. Own core company metrics, consumption and marketplace analytics, self-service reporting, experimentation practices, and executive and board-level insights. Partner with Product, Finance, Engineering, Security, Supply, and Go-to-Market leaders to improve data quality, modeling, decision-making, and strategic outcomes.

Leads the Sales Analytics and Reporting function and manages Sales Analysts. Oversees dashboards, scorecards, KPI tracking, profitability analysis, business insights, executive reporting, and sales technology platforms. Partners with Sales, Finance, Product, Technology, and other stakeholders to improve performance, profitability, planning, and decision-making. Develops team capability, reporting processes, platform adoption, and analytical effectiveness while translating complex data into actionable recommendations.

Develop and deploy business intelligence applications for a U.S. Air Force financial platform across development, testing, integration, and production environments. Design and optimize Informatica ETL pipelines, Oracle databases, SQL and PL/SQL processes, data warehouses, BI semantic layers, and SAP integrations. Support Agile delivery, budgeting integrations, monitoring, interface changes, and security hardening. The role also requires Oracle APEX, WebLogic, HTTP Server, performance tuning, and collaboration on data-related issues.

Designs and develops scalable big data platforms and data architectures using Azure or AWS. Translates business objectives into technical strategies, supports data warehousing, business intelligence, master and reference data management, and develops data services through REST APIs. Leads client initiatives, creates system diagrams, establishes architectural governance, analyzes business processes, advises on emerging technologies, and mentors data architects and engineers. The role involves extensive client travel averaging 30–50%.

Lead CX data intelligence initiatives using SQL, dashboards, analytical models, and AI/LLM techniques. Analyze customer journeys, operational metrics, churn risks, and retention indicators; develop insight agents and self-service reporting; define CX health metrics; and translate findings into strategic recommendations, process improvements, and experiments. Partner with operations, support, product, data, and engineering teams while maintaining data quality, governance, and documentation.

Designs, builds, and maintains scalable data pipelines, workflows, analytics solutions, and AI/ML capabilities within Palantir Foundry. Models enterprise data using Foundry Ontology, manages data assets and governance, integrates analytics tools, troubleshoots platform issues, and translates stakeholder requirements into maintainable solutions. The role also supports FAA users through documentation, training, collaboration, and ongoing platform enhancement.

Leads the vision, architecture, strategy, and execution of enterprise data platforms supporting scalable analytics and AI initiatives. Oversees modern data technologies, production reliability, FinOps, governance, architecture standards, and cross-functional delivery. Builds and mentors engineering teams, communicates with executives, evaluates third-party technologies, resolves critical production issues, and drives continuous improvement. The role is remote with occasional planned travel to the Southfield, Michigan office.

Owns and leads commercial master data management across HCP, HCO, payer, patient, product, and organizational domains. Establishes governance frameworks, stewardship programs, data quality standards, matching and survivorship rules, and trusted golden records. Manages commercial data platforms, integrations, analytics datasets, releases, vendors, and offshore teams. Writes SQL, builds validations and data pipelines, troubleshoots integrations, supports commercial launches, and drives operational improvements across pharmaceutical commercial systems.

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.

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.

Designs and scales enterprise Power BI reporting, dashboards, semantic models, and analytical data products. Develops DAX measures, star-schema models, KPIs, data governance, row-level security, and performance optimizations. Partners with business, data engineering, and operational teams to translate requirements into actionable insights. Uses Python, SQL, Azure, and Microsoft Fabric to support data validation, self-service analytics, executive reporting, and enterprise analytics architecture.

Leads BI, analytics, and AI initiatives that transform energy market and customer data into dashboards, automated insights, predictive analyses, and strategic recommendations. The role supports pricing, acquisition, retention, marketing, finance, and customer experience decisions through Python, SQL, Tableau, Power BI, generative BI, experimentation, and machine learning. Responsibilities include building executive reporting, evaluating AI-enhanced BI platforms, analyzing customer lifecycle performance, mentoring analysts, and partnering with cross-functional business and technical teams.

Analyze insurance product and portfolio performance, build dashboards and reporting tools, validate data, and translate complex insurance questions into actionable recommendations. The role supports rate revisions, state expansion, product development, and profitable growth while partnering with Product, Engineering, Data, Underwriting, Compliance, and other teams. It also uses SQL, business intelligence platforms, and AI tools such as Claude to improve workflows and decision-making.

Designs and maintains Power BI dashboards, scorecards, reports, and data solutions supporting banking operations. Analyzes operational, financial, customer, and workforce data to identify trends, risks, and improvement opportunities. Establishes data governance standards, validates data quality, automates reporting, and translates complex analysis into actionable recommendations. Partners with Operations, Finance, Credit, Technology, and executive leaders on forecasting, capacity planning, budgeting, staffing, productivity, and strategic initiatives.

Develops enterprise dashboards, reports, data models, and analytics solutions using Power BI or Tableau. Responsibilities include advanced SQL development, ETL/ELT workflows, data integration, executive reporting, data quality controls, issue resolution, testing, deployment, documentation, and stakeholder collaboration. The role supports operational, risk, regulatory, and financial services reporting initiatives.

Owns enterprise BI reporting from stakeholder requirements through semantic modeling, SQL optimization, Power BI dashboards, paginated reports, governance, security, testing, and performance tuning. The role also supports Tableau development and administration, mentors junior developers, establishes BI standards, and documents architecture and data lineage.

Analyze business, financial, and operational data to generate insights and recommendations. Create recurring KPI and performance reports, conduct ad hoc analyses, build financial models with scenarios and projections, manage budgeting and forecasting, and present findings to executives. The role requires strong Excel and PowerPoint skills, analytics-tool experience, financial literacy, and Korean-English bilingual communication.

Senior BI Engineer supporting Pharmacy Services Finance Intelligence by analyzing financial data, identifying trends and risks, and delivering decision-ready insights to CFO stakeholders. The role develops semantic-layer data sources, integrates disparate datasets, partners on analytics product delivery, improves solution quality and automation, explores AI-enabled analytics, and mentors junior analysts. Advanced SQL, analytics programming, visualization, statistical modeling, data engineering, communication, and large-scale analytics leadership are central to the position.

Develop and maintain Power BI, SSRS, SQL, recurring, and ad hoc reports for the Mortgage Lending Division. Analyze large datasets, validate regulatory reporting data, identify trends, automate reporting, and provide actionable insights. Collaborate with business units, support HMDA and fair lending reporting, document data dictionaries and procedures, and train users on reporting tools.

Leads complex data analysis projects supporting healthcare operations, including claims, provider, member, clinical, HEDIS, pharmacy, and reporting functions. Extracts, models, reconciles, audits, and analyzes data from multiple systems using SQL and analytical tools. Develops reports, identifies trends and operational impacts, supports management decisions, ensures reporting compliance, and mentors other Data Analysts. Requires project involvement and may coordinate workload and activities for analysts.

Leads a client’s migration from SQL Server, SSIS, and SSRS to Snowflake and Sigma while maintaining legacy reporting operations. Designs data models, ETL pipelines, reports, dashboards, source-to-target mappings, and migration plans; validates reporting parity and coordinates phased cutovers. The role also provides client-facing technical leadership, troubleshooting, documentation, peer reviews, and ongoing support for banking data and reporting systems.

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.

Designs and maintains data warehouse infrastructure, semantic and dimensional models, metrics layers, dashboards, reporting, and secure data pipelines. Builds governed self-service analytics in Sigma, Power BI, and Databricks; defines KPIs and data standards; implements row-level security and Entra ID controls; supports data quality, observability, AI/ML use cases, and BI adoption. Collaborates with technical and business stakeholders in an Agile-Scrum environment.