Top Senior Analysis Reporting Jobs in Dallas, TX

Provide end-to-end Tealeaf support, analyze customer behavior and site issues to improve conversion, and identify key reporting events.

Lead and deliver Databricks-based data engineering solutions on cloud platforms. Design, build, and optimize large-scale data pipelines and ETL; mentor engineers; collaborate with product, data, and design stakeholders; implement process improvements and monitoring; support analytics and data science initiatives. Role requires frequent client travel and consulting delivery.

Design and oversee end-to-end data architectures and governance for client engagements. Lead technical discovery, select platforms (e.g., Databricks, Snowflake), define migration/integration approaches, produce architecture documentation, and partner with delivery teams to ensure scalable, secure implementations across regulated industries.

As Analytics Director, lead teams in analytics across customers and industries, translating business questions into actionable insights, and driving performance by leveraging data and emerging methodologies.

Lead credit risk analytics by mining and modeling large datasets, validating and monitoring scorecards, forecasting campaign performance, building predictive models, and delivering actionable insights to stakeholders using SAS and SQL.

Design, develop, and maintain dashboards, semantic models, and reports using Microsoft Fabric, Power BI, and Snowflake. Analyze high-volume data sets, write and optimize complex SQL (PostgreSQL), ensure data quality, collaborate with cross-functional stakeholders, and support report migrations and deployments. Provide actionable insights to drive business decisions and work independently on complex analytics projects.

Prepare and publish distributor pricing and Part & Price data, maintain complex Excel files and databases, create distributor territory maps, monitor and process marketing rebates, maintain EIS data files, and resolve pricing and payment discrepancies.

Lead technical analytics for client and employer reporting: gather requirements, build/validate/automate reports and data files, perform UAT and dataset comparisons using SQL/Python/R, design monitoring and validation automations, and enable stakeholder self-service while applying healthcare claims and enrollment domain knowledge.

Perform backend ETL and data warehouse testing: validate Snowflake data quality, verify ETL transformations and business rules, perform source-to-target reconciliation, and ensure data loads maintain integrity without loss or corruption.

Lead design and implementation of Informatica IDMC Multidomain MDM: configure domains, matching/merging, data quality, integrations (batch, API, Kafka), stewardship, CI/CD, and operational support.