Top Data & Analytics Jobs in Dallas, TX

Lead analytics, space management, and category management teams across multiple client accounts. Partner with senior leadership to manage client relationships, translate priorities into actionable team direction, deliver data-driven insights that drive measurable client value, optimize tools and processes, and identify growth opportunities.

Design and build scalable data lakes, warehouses, and lakehouses. Implement Python ETL/ELT pipelines, orchestrate with Airflow, ingest from third-party APIs, optimize columnar formats, and support ML initiatives using Spark, Snowflake, and cloud platforms.

Perform procedural, perioperative, and clinical outcome analyses using Vizient Procedural Analytics and the Clinical Database. Develop datasets, reports, dashboards, and visualizations; identify trends and benchmarks; advise clients on analytics approaches and best practices; lead small projects and client meetings to deliver actionable insights supporting operational, financial, and quality improvement.

Analyze territory and retention data to maximize revenue and margin, partnering with sales leaders and driving financial analyses for decision-making.

Designs and maintains SAP BusinessObjects BI solutions. Develops, tests, and delivers reports, dashboards, mobile and ad-hoc analysis. Defines requirements with stakeholders, validates data integrity and quality, creates test cases, coordinates UAT, and supports users with reporting inquiries.

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

Design, build, and maintain supply chain and logistics reports, dashboards, and data models. Write and optimize SQL, validate data accuracy, automate recurring reports, establish KPIs, document reporting logic, and partner with stakeholders to translate business needs into scalable analytics solutions.

Lead the delivery of modern data platforms for clients, managing agile teams, architectural governance, client relations, and financial oversight while ensuring quality and successful outcomes.

Design and maintain conceptual, logical, physical, and semantic data models and architectures for enterprise analytics. Establish modeling standards, semantic layers, KPIs, and governed consumption patterns; partner with engineering, BI, governance, and business teams to implement scalable lakehouse and data warehouse solutions supporting reporting, self-service analytics, and AI/ML use cases.

Lead the design and migration of a data platform architecture. Manage data pipelines, mentor teams, and ensure platform reliability.