Top Senior Data & Analytics Jobs in Dallas, TX

Lead enterprise data management strategy, build an MDM function, govern data quality and metadata, integrate MDM with ERP/CRM, manage a centralized team, and drive stakeholder adoption and data literacy to support analytics and operations.

Lead master data management governance, define standards and mappings, approve data changes, audit mappings, manage a team of mapping specialists, collaborate with stakeholders, and drive MDM project delivery and training.

Lead design, build, and operationalization of a scalable enterprise data platform and pipelines (batch and streaming) to support analytics and AI. Drive architecture for lakehouse, ETL/ELT, CDC ingestion, observability, governance, and mentor engineers while collaborating with cloud, MDM, and product teams.

The Sr. Analyst for People Analytics is responsible for delivering insights through analytics to enhance staffing, retention, and productivity, collaborating cross-functionally and solving complex HR-related business problems.

The Senior Data Engineer will design and maintain data pipelines, ensuring data reliability and consistent models, while collaborating with stakeholders to improve data practices.

This role requires a credentialed actuary to develop and operationalize actuarial models, translating complex outputs into client-ready presentations while collaborating with technical teams and managing vendor resources.

The Lead Data Analyst analyzes audience behavior and content performance on streaming platforms, providing insights to drive product strategy and business decisions through data analysis and reporting.

Lead the development and implementation of identity governance solutions, utilizing data management standards and cloud technologies, while mentoring junior staff and driving operational efficiency.

Lead pricing analytics and Earnix desktop delivery for auto pricing modernization. Oversee modeling, system testing, data analysis, cross-functional stakeholder alignment, mentoring, risk assessment, and presentation of data-driven recommendations to executive leadership.

Lead analytics and AI-enabled growth initiatives by aggregating enterprise data, building Snowflake semantic models and financial forecasts, developing agentic analytics and conversational agents, automating reporting, and delivering insights and presentations to senior leaders to support Growth Operations.

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.