Top Business Intelligence Jobs in Dallas, TX

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.

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.

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.

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.

Lead enterprise data governance, quality, MDM, cleansing, validation, reconciliation, and migration efforts to support ERP implementations and large transformation programs. Develop governance frameworks, coordinate data readiness and testing, produce executive reporting and presentations, manage project plans and governance artifacts, and drive stakeholder alignment and change management.

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.

Designs and develops end-to-end data integration pipelines, enterprise BI data marts, and semantic data layers across Teradata, Hadoop, and Azure platforms. Partners with data architecture teams and business stakeholders to create data products and enable analytics. Supports multiple projects, improves data processes and infrastructure, uses enterprise scheduling and DevOps tools, and communicates analytical insights effectively.

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.

The Assistant Director will oversee data-related needs for Undergraduate Enrollment, manage reports, assist with data queries, and provide data support for enrollment initiatives.

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 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.

Design and architect a data repository/warehouse to deliver accurate, business-ready data. Provide SAP BW architecture expertise, guide BI data modeling and ensure data availability for stakeholders during a 6-month contract starting ASAP.

Implement and maintain IBM InfoSphere Governance Catalog for DW/BI projects: design metadata and category hierarchies, configure permissions, manage data/business lineage and DB connections, produce custom lineage reports, perform design and architecture reviews, and troubleshoot complex issues.

Implement and maintain data governance using IBM InfoSphere Governance Catalog: design catalog permissions, workflows, metadata enrichment, lineage, imports/exports, mappings, and custom lineage reports. Support DW/BI projects, perform design and architecture reviews, troubleshoot issues, collaborate with stakeholders, and work in a global delivery model (financial domain experience preferred).

Design, build and support large-scale Hadoop environments. Hands-on development with MapReduce, Hive, Pig, HBase and Java. Work with large datasets, ETL/DW/BI solutions, performance tuning, monitoring, data architecture/governance, and client-facing delivery in the financial domain.

Design, develop and maintain IBM Infosphere Governance Catalog solutions within DW/BI projects. Define catalog permissions, users, roles, and access levels; create and manage workflows; perform design and architecture reviews; explore and enhance glossary, information, and external assets, stewards, blueprints, and metadata.

Implement and maintain IBM InfoSphere Governance Catalog for DW/BI projects: design and architecture reviews, develop catalog assets, define permissions, manage workflows, and enhance metadata.

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.

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.

Analyze commercial real estate data to identify trends, validate data quality, and deliver actionable insights. Build optimized SQL queries, Power BI dashboards, DAX models, and governed datasets using Snowflake, PostgreSQL, and enterprise data platforms. Apply Python for transformation, automation, and advanced analytics, including AI/ML concepts. Partner with executives and stakeholders to gather requirements, present findings, and maintain documentation for data pipelines, models, and reports.

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.

Design, build, and maintain enterprise Power BI reports, semantic models, and complex DAX measures. Partner with stakeholders to translate business needs into scalable analytics, ensure data quality and performance, and leverage AI capabilities to enhance reporting and user productivity.