Top Senior Business Intelligence Jobs in Dallas, TX

Leads risk analytics, reporting, and data strategy initiatives for Home Lending accounting and financial reporting. Reviews forecasting and aggregation models, reconciles data, documents processes, supports governance and audit readiness, and resolves complex issues across SQL, Power BI, SAS, and Microsoft 365 tools. Partners with stakeholders to automate reporting, improve transparency, validate results, and deliver analytical insights while mentoring staff and managing projects.

Own and optimize the enterprise workforce management platform, including forecasting, scheduling, staffing, intraday performance, shift and PTO bidding, and schedule adherence. Analyze workforce and operational data, identify root causes, create trend and productivity reports, model ROI, and recommend staffing improvements. Partner with analytics and operations leaders, mentor real-time analysts and schedulers, and drive efficiency across service and clinical operations.

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.

Senior Database Analyst/Administrator responsible for database architecture, administration, performance, security, data modeling, warehousing, ETL, migration, and data integrity. Develops SQL Server database objects, dimensional models, enterprise data marts, BI dashboards, and Splunk monitoring reports. Collaborates with stakeholders to translate business needs into technical requirements, supports Agile development, conducts code reviews, and implements cloud and hybrid-cloud database solutions.

Analyze complex datasets, develop data models, dashboards, and visualizations, and conduct predictive and statistical analysis for client decision-making. Collaborate with clients to deliver tailored analytics solutions, maintain data integrity, communicate insights through reports and presentations, and support data-driven operational strategies using SAS, Power BI, Tableau, and SQL tools.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Serve as the primary technical escalation point for managed services data and analytics clients. Troubleshoot and enhance Power BI, Fabric, Azure, and other analytics environments; gather requirements; translate business needs into scalable solutions; support client onboarding; maintain documentation; mentor support staff; and partner with client success and consulting teams. The role also contributes to continuous improvement, training, knowledge sharing, and AI-enabled productivity initiatives.

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.

Deliver enterprise Power BI analytics solutions for clients by transforming complex data into intuitive dashboards, reports, and semantic models. Responsibilities include gathering requirements, prototyping, designing visualizations, incorporating feedback, managing productionization, mentoring junior consultants, and advising stakeholders on data-driven business solutions. The role requires strong data modeling, SQL, UI design, testing, administration, security, and consulting skills, with 30–50% travel.

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.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

Lead enterprise data architecture across multiple SaaS products by unifying reporting platforms, data models, and analytics capabilities. Assess current systems, define target-state architecture, establish data governance and quality standards, separate analytical workloads from transactional systems, and develop phased migration roadmaps. Guide database, engineering, and BI teams on cloud platforms, integration, modeling, performance, security, and reliability. Enable trusted cross-product reporting, governed self-service analytics, and data foundations for AI and advanced analytics.

Owns end-to-end development and maintenance of Tableau and Amazon QuickSight dashboards for operational and executive stakeholders. Translates business needs into datasets, visualizations, and actionable insights; writes SQL for analysis and validation; collaborates with data engineers on AWS lakehouse sources; optimizes performance, validates data quality, documents dashboards, and continuously improves the BI portfolio.

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.

Leads business intelligence strategy, dashboard development, data analysis, automation, and a small BI analyst team. Builds Power BI solutions using data from financial, sales, customer success, CRM, and operational systems. Partners with data engineering and business leaders to ensure data quality, deliver actionable insights, support customer retention and expansion, and present recommendations to executives. Provides technical direction, mentorship, prioritization, documentation, and end-user training.

Develops business intelligence applications and data models using Qlik, SQL, and related tools. Performs ETL, data validation, analytics process improvement, and impact analysis for reporting changes. Provides data-driven insights, supports audits and legislative inquiries, leads stakeholder meetings, and mentors teammates as a business intelligence subject matter expert.

Leads the Americas Business Intelligence Center, managing research leaders and delivering market, competitor, industry, company, and financial intelligence for business development and client delivery. Partners with senior stakeholders, oversees research quality and commercial support, drives responsible generative AI adoption, improves workflows and reporting, manages research vendors and subscriptions, and develops a high-performing team.

Leads enterprise business intelligence architecture, governance, and optimization across Power BI and Microsoft Fabric. Designs semantic models, dataflows, DAX measures, security controls, deployment processes, and reporting standards. Partners with data engineering and business stakeholders to deliver scalable analytics for operational, financial, and executive decisions. Provides technical leadership, mentors BI developers, documents architecture, and advises leadership on platform strategy and future-state analytics capabilities.

Designs and maintains executive dashboards, reports, semantic models, and automated analytics solutions using Power BI. Defines enterprise KPIs, data standards, and business rules while integrating data from ERP, CRM, manufacturing, SQL, and cloud systems. Partners cross-functionally with senior leaders to deliver insights, improve data quality, support master data management, and enable scalable self-service analytics and data-driven decision-making.

Develop business intelligence and analytics solutions using financial, operational, RF, and video performance data. Build scalable data models, dashboards, reports, automation workflows, and ETL/ELT processes using Power BI, Tableau, DataMiner, and Qligent. Analyze trends and anomalies, monitor satellite and video delivery performance, translate business requirements into actionable insights, and collaborate with enterprise stakeholders in a fully remote consulting role.

Leads commercial business intelligence strategy, Power BI reporting, dashboards, analytics, data governance, CRM optimization, and sales process improvement. Manages two direct reports and partners with commercial, finance, and operational leaders to improve revenue performance, forecasting accuracy, data quality, and commercial effectiveness. Oversees sales incentive compensation analytics and cross-functional system transformation initiatives. The role is fully remote with 10% overnight travel.

Lead the design, development, optimization, and deployment of enterprise Power BI dashboards, reports, data models, and analytics solutions. Translate stakeholder requirements into actionable insights, develop DAX, Power Query, and SQL solutions, improve performance and scalability, support data modernization, collaborate with offshore teams, establish BI standards, mentor junior staff, and manage risk and controls.

Lead architecture and delivery of enterprise data transformation on the Guidewire Data Platform. Drive design, ingestion/egress, migration performance, and AI-enabled tooling. Facilitate inception and design review sessions, mentor teams, coordinate with partners, and ensure successful data platform adoption and repeatable delivery practices while spending significant time on customer sites.

Leads the analytics and business intelligence function, including teams, data governance, platforms, integrity processes, and insight delivery. Develops the analytics vision, strategy, roadmap, and execution while advising leadership, overseeing daily BI operations, managing backlogs, supporting IT governance, and ensuring trusted, secure, actionable data. Partners across the organization and leads, coaches, and develops analytics, engineering, architecture, and analyst professionals.