Top Senior Analysis Reporting Jobs in Dallas, TX

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.

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.

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, define, and implement data quality management for Customer MDM. Analyze and integrate MDM processes with Sales, Marketing, Support, and Finance systems. Perform data cleansing, standardization, matching/merging, reporting, and statistics using SQL and Excel.

Serve as an individual-contributor actuarial analytics partner to brokers and clients, build complex risk and pricing models, assess reinsurance impacts, communicate insights, and modernize workflows using AI and modern tooling for scalable, repeatable analyses.

Perform spatial analysis, produce maps and analytical products, manage geodatabases, build interactive web maps and dashboards using ArcGIS Online, incorporate field and as-built data, maintain GIS layers for utilities, and follow QA/QC processes to support infrastructure planning and regulatory reporting.