Top Senior Data & Analytics Jobs in Dallas, TX

Design and implement scalable data pipelines, support data ingestion and quality, collaborate on data models, and maintain data exports, contributing to technology improvements.

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

Designs, develops, and maintains BI applications and reporting tools; gathers requirements from stakeholders; builds reports and dashboards (SQL/Tableau); mentors teammates; performs testing, data discovery, and integration with source systems; documents and trains users; manages small projects and serves as subject-matter expert for BI solutions.

Design, build, test, deploy, and support scalable data analytics, BI, and reporting solutions using Azure, SQL Server, Power BI, OLAP and ETL tools. Own end-to-end delivery in a small Agile team, perform data modeling, performance tuning, production support, and apply data governance and AI-enabled tools to improve automation and insights.

Lead a team to deliver reporting and analytics for wealth and distribution, using SQL and Tableau to produce reports, predictive models, and insights on sales, investment performance, and products. Present findings to senior management to support strategic decision-making.

Lead a team to perform analytics across wealth and distribution, prepare sales, investment, and product performance reporting, develop predictive and explanatory models, generate actionable insights for senior management, and present findings to inform strategic business decisions.

Design, build, and maintain large-scale data infrastructure and pipelines (data lakes/warehouses). Integrate diverse data sources, optimize processing and queries, enforce data quality and security, implement monitoring/alerting, troubleshoot issues, and collaborate with cross-functional teams while exploring new data frameworks and cloud services.

Lead and develop an analytics team supporting Service and Operations leaders. Prioritize and deliver dashboards, reporting, forecasts, and self-service solutions; ensure analytical quality, data validation, and documentation; identify automation and AI opportunities; translate data into actionable recommendations; and communicate findings to technical and leadership audiences.

Lead analytics for incentive compensation programs: define KPIs, build scalable pipelines, ensure data quality and audit-ready reporting, reduce operational risk, simplify reporting, partner with distribution/HR/compliance, and manage a team of analysts.

Manage ESG datasets across the data lifecycle for equity and fixed income indices: ingest, validate, document, monitor quality, resolve issues, onboard new feeds, define data requirements and lineage, coordinate with technology, index, analytics, and vendor teams, and prepare analyses/reports to support stakeholders and governance.

Deliver advanced analytics across the remarketing lifecycle to optimize proceeds, cycle time, and channel performance. Build scalable analytics solutions, dashboards, and scorecards; monitor performance and run strategic tests; translate data into insights for stakeholders; mentor junior analysts; ensure data governance and quality; partner cross-functionally to align metrics and drive decision-making.