Top Senior Business Intelligence Jobs in Dallas, TX

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

The Senior Business Intelligence Analyst will design BI information models, dashboards, metrics and reports, utilizing SQL, R, and Python to enhance business productivity.

Designs, builds, and maintains scalable ETL pipelines and databases; integrates large-scale data for analytics; develops and tests code, queries, and reports; ensures data quality and governance; leads solution development, trains users, and supports ML and BI initiatives.

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.

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

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 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.

The VP of Credit & Business Intelligence will oversee credit policy and analytics for SMB financing, focusing on AI/ML model implementation, risk management, and team leadership in analytics strategy.

Administer, implement, upgrade and support SAP BusinessObjects BI 4.0 (and XI3.1) environments, assist migrations (Crystal, WebI, Universes, Dashboards), design technical architecture, size BI systems, mentor team members, and analyze business reporting requirements.

Provide SAP BI/BusinessObjects Universe consulting for a client in Oklahoma. Must have at least 5 years of SAP BI Universe experience, strong communication skills. 6-month contract with possible extension. Candidates with OPT, U.S. citizenship, or green card status are acceptable.

Serve as liaison between business stakeholders and development teams to elicit, document, and validate system and DW/BI requirements; define solution architecture; lead stakeholders and teams; mentor on requirements analysis and ensure IT deliveries meet business expectations.

Lead enterprise BI capabilities: define BI roadmap, standardize KPIs, deliver dashboards and self-service analytics (Power BI/Tableau), oversee report lifecycle, governance, and data quality. Build and manage a BI team, partner with data engineering and business leaders, introduce AI-assisted analytics, and support audit readiness.

Lead a BI team to design, develop, and maintain enterprise dashboards, KPIs, and reports. Collaborate with stakeholders, ensure data governance and quality, integrate BI with cloud data warehouses and ETL pipelines, and support ERP migration to cloud. Drive BI strategy, documentation, training, and continuous improvement to enable data-driven decisions across the company.

The Business Intelligence Analyst will lead data analysis efforts, create actionable insights, drive business processes optimization, and enhance data literacy within cross-functional teams in the organization.

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

Design, build, and enhance executive Power BI dashboards and scalable data models. Develop DAX, Power Query, optimized visuals, KPIs, templates, and governance while iterating with stakeholders to deliver role-based reporting and drill-through navigation.

The role requires a data analyst with expertise in SQL and Power BI to support healthcare reporting, ensuring accuracy and reliability in outputs, backed by strong governance and reconciliation practices.

Builds and manages ETL processes and data pipelines in Azure Databricks using PySpark. Integrates data from multiple sources, tunes Spark and SQL for performance, troubleshoots pipeline failures, automates manual processes, and supports reporting and analytics to inform business decisions.

Collect and analyze competitive intelligence and conduct due diligence and investigations on investment candidates and related entities. Design data collection methods, use research, network analysis and AI/automation tools to produce high-quality reports and actionable recommendations for senior stakeholders, and improve workflow productivity.

Designs and develops BI solutions by analyzing large datasets, building and optimizing SQL queries, and creating data visualizations (Power BI/Tableau) to inform strategic decisions. Works independently on complex problems, influences departmental strategy, and supports healthcare-focused analytics.

The Senior Business Intelligence Analyst analyzes complex data, develops advanced models, and builds dashboards to support strategic decision-making across the organization.

The Sr. BI Developer will create analytical tools for decision-making, design Power BI architecture, and support business teams in data-driven processes.

The Sr BI Developer/Architect will support and administer database systems, develop dashboards and reports, and enhance BI tools like OBIEE and Tableau.

Lead design and delivery of end-to-end BI solutions and market-facing analytics tools. Define strategy and roadmaps, translate business needs into requirements, guide development and testing, oversee deployments, ensure data governance, and liaise with stakeholders to prioritize fixes and maintain documentation and compliance.

Lead BI Developer owns reporting infrastructure end-to-end, building standardized, trusted dashboards and LookML models, analyzing messy third-party data, partnering with Yield/Paid Media/Account teams to deliver actionable performance marketing insights and retrospective analyses that drive business decisions.