Top Business Intelligence Jobs in Dallas, TX

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

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

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, 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.

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.

Act as a strategic partner to Revenue Operations by analyzing performance, building executive dashboards and reports, improving CRM data quality and governance, supporting forecasting and pipeline management, and designing scalable processes and automations to increase efficiency and revenue visibility.

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 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.

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.

Lead and supervise a data analysis team responsible for designing, implementing, maintaining, and supporting data warehouse systems. Manage data reporting, modeling, dashboards, and BI solutions, ensure data quality and audits, provide on-call support, translate stakeholder requirements into technical solutions, document procedures, and mentor staff to meet SLAs and organizational objectives.

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

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

Build, administer, and maintain Power BI workspaces, reports, dashboards and datasets; validate data and KPIs; design data models and transformations; collaborate with teams to deliver analytics; document models/pipelines; enforce security and train users.

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 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.

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.

Support product management for service technology by gathering and prioritizing analytic requirements, building data sets, reports, and dashboards, automating reporting, enabling self-serve analytics, improving service productivity through data analysis, and collaborating cross-functionally to drive client retention and deliverables on time.

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.

The job involves analyzing data to support business decisions and help improve profitability but lacks detailed responsibilities in the description.

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.