Top Senior Analysis Reporting Jobs in Dallas, TX

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.

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.

The Senior Systems Analyst will design systems based on project requirements, manage technical support initiatives, prepare documentation, and conduct user training. They will collaborate with governmental personnel to meet IT needs and ensure quality control in deliverables.

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.

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.

Design, build, test, and operationalize complex data pipelines and multi-layer data architectures using Snowflake and dbt. Analyze source systems, perform data mapping and transformations, ensure data governance, quality, and security, resolve defects, optimize query and pipeline performance, and collaborate with engineering and business teams to support BI and AI/ML use cases.

Lead design, build, and operate scalable AWS-based data pipelines and real-time ingestion for analytics and ML. Implement data modeling, automated validation, observability, and event-driven architectures; mentor engineers and collaborate with Product and ML teams to productionize feature stores and ML-ready datasets.

Design, build, and scale enterprise Power BI reporting and centralized semantic models. Develop advanced DAX and Power Query solutions, optimize report performance, implement RLS and governance, partner with business and data engineering to enable self-service analytics and standardized metrics, and deliver executive-ready dashboards supporting insurance business decisions.

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.