Top Senior Data & Analytics Jobs in Dallas, TX

Lead design, operation, and reliability of production data pipelines in a multi-terabyte Snowflake environment. Translate client requirements into dimensional models, debug and remediate pipeline failures, evolve the data mart for event-driven and AI workflows, and improve pipeline trustworthiness via testing, CI/CD, audit logging, and documentation.

The Senior Manager of Data Engineering will lead a team, manage data platforms, drive modernization, oversee budgets, and ensure data solutions are scalable and reliable.

Independently validate and assure enterprise data quality across source systems, ETL/ELT pipelines, data warehouses and reporting. Lead incident investigations, root cause analysis, test strategy, automated validation, regression and non-functional testing, data governance metrics, regulatory validation, and stakeholder collaboration to drive continuous improvement in data quality and controls.

Develop and support Informatica ETL/MDM solutions (development ~70%, support ~30%). Implement error-handling frameworks with schedulers (Autosys/Control-M/Tidal), configure PowerCenter Grid, use IDQ and Informatica MDM/Cloud, perform performance tuning, Unix scripting, and Teradata/SQL-based data cleansing, profiling, and standardization.

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 Lead Data Analyst will lead data analysis for public health projects, supervise analysts, and develop statistical models and reports.

Produce, maintain, and validate standardized non‑financial risk reports (issues management, regulatory change, risk profile). Execute data validation and quality controls, fulfill ad hoc GRC data requests, coordinate with data owners and technology, support UAT, and partner across enterprise risk teams to ensure accurate, timely reporting and alignment with methodologies and risk appetite.

Support and analyze data anomalies across Data Warehouse, ODS, replication and ETL environments. Collaborate with Business, DBA and ETL teams to document transformations, assist in production validation, configure data governance/virtualization/MDM solutions, maintain data dictionaries and lineage, and produce complex SQL queries and analysis in an agile team environment.

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.

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