Top Senior Business Intelligence Jobs in Dallas, TX

Leads data architecture and engineering initiatives for Payments Operations. Responsibilities include defining data requirements and quality standards, identifying authoritative sources, creating conceptual and logical models, designing data flows, preparing data with Python, PySpark, and SQL, and partnering with technology, product, analytics, and business teams to deliver data-driven solutions.

Designs and develops scalable cloud-based data platforms and architectures for consulting clients. Translates business objectives into technical solutions, leads client initiatives, applies data modeling and governance practices, and supports data warehousing, business intelligence, master data, and reference data management. The role uses Azure or AWS, mentors data professionals, collaborates with stakeholders and vendors, and travels approximately 30–50% of the time.

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.

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.

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.

Supports the design and implementation of financial and management reporting and analytics. Oversees business intelligence strategy, KPI alignment, report rationalization, data governance, and reporting automation. Partners with finance and actuarial teams to improve reporting efficiency, consistency, quality, timeliness, and risk management. Requires business intelligence, relational database, project management, strategy, change management, process improvement, and reporting experience, with Oracle reporting expertise preferred.

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.

Leads architecture, development, and optimization of enterprise data platforms using Microsoft Fabric and Azure. Designs Lakehouse, OneLake, Spark, SQL, ETL/ELT, data models, and reporting solutions. Collaborates with business, IT, and vendors; supports compliance, documentation, SDLC, change management, and DevOps practices. Provides technical expertise and contributes to AI, Copilot, advanced analytics, and cloud-native data initiatives.

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.

Develop and integrate dashboards, self-service reporting, predictive analytics, visualizations, and AI/ML capabilities for a federal case management modernization program. Translate business requirements and KPIs into technical solutions, implement SQL and analytical data models, ensure performance and compliance, support data governance, and collaborate with product owners, engineers, designers, stakeholders, and program leadership.

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.

Develop and optimize SQL Server and SSIS billing pipelines, automate data movement and validation with Python, and use R and Python for analytics, anomaly detection, and billing decision models. Build data-quality frameworks, support internal reporting tools, integrate ERP APIs, and collaborate with finance and operations stakeholders. The role requires maintainable, tested, auditable solutions and ownership of features across databases, pipelines, analytics, and internal applications.

Lead business intelligence strategy across product, clinical, commercial, finance, and engineering teams. Build measurement frameworks, semantic layers, reporting solutions, and visualizations that demonstrate business value and support data-informed decisions. Own the data lifecycle from ideation through client-facing delivery, ensure data governance and integrity, and translate complex datasets into actionable insights. Collaborate on scalable data architecture and apply statistical methods, advanced analytics, and emerging AI-driven BI capabilities.

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.

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.

Lead ownership of BI reporting infrastructure: build and standardize dashboards, extract insights from messy third‑party data, partner with marketing teams to drive performance optimization and deliver proactive retrospective analyses that influence business decisions.

Lead BI reporting and advanced analytics to optimize marketing campaigns and ROI. Build dashboards, manage multi-source data, ensure data governance, provide actionable insights, mentor juniors, and partner with cross-functional teams to guide strategy.

Analyze performance marketing and subscription-funnel data, including acquisition efficiency, conversion, retention, churn, and customer lifetime value. Build automated Domo dashboards and governed reporting pipelines from multiple data sources. Investigate data anomalies, analyze A/B tests, define KPIs, and communicate insights to executives. Partner with marketing, product, engineering, finance, agencies, and BI contractors while independently executing analytics projects and improving reporting workflows.

Build governed Snowflake data marts and Sigma dashboards while migrating legacy SQL Server logic. Reverse-engineer stored procedures, views, and queries; translate business requirements into reliable reporting; establish standardized metrics, semantic layers, documentation, governance, and data-quality practices for sensitive healthcare claims data.

Owns and advances BI, analytics, and data warehousing platforms. Designs Oracle BI and Power BI dashboards, develops and maintains ETL processes and data models, monitors platform performance, resolves data quality issues, and supports data governance. Collaborates with architects, IT teams, data stewards, and business stakeholders on reporting, analytics, system integrations, platform upgrades, migrations, and production changes. The role requires deep experience with Oracle BI, OAS, OBIA, ODI, Power BI, SQL, PL/SQL, and enterprise data warehouses.

Develops and maintains dashboards, reports, data tools, and data infrastructure for Consulting. Analyzes client, project, portfolio, capacity, compliance, and outcomes data to identify trends and support decisions. Maintains data integrity across Salesforce, Resource Hero, Power BI, and related systems; establishes governance standards; trains staff; and manages consulting projects, workflows, budgets, timelines, and deliverables.

Senior Business Intelligence Analyst who develops and governs Power BI dashboards, analyzes clinic performance metrics, ensures reporting accuracy, and translates operational needs into technical requirements. The role manages BI projects end to end, prioritizes analytics tickets, presents insights to executive stakeholders, establishes reporting standards, contributes to data-model requirements, and mentors junior analysts across clinical and corporate operations.

Leads enterprise business intelligence and analytics solutions using Power BI and Microsoft Fabric. Designs semantic models, certified datasets, dashboards, DAX calculations, data transformations, security controls, and governed self-service analytics. Assesses and modernizes reporting portfolios, develops predictive and forecasting capabilities, gathers requirements, validates data quality, supports documentation and adoption, and mentors analysts. Collaborates with business, engineering, governance, and security stakeholders to establish scalable enterprise analytics standards.