Top Senior Analysis Reporting Jobs in Dallas, TX

Lead a data analytics team delivering statistical modeling and data science projects. Define standards, coordinate cross-functional analytics objectives, manage people and budgets, resolve complex issues, provide recommendations from detailed analyses, ensure timely, high-quality delivery, and maintain regulatory and ethical compliance.

Own enterprise data strategy, semantic models, and governance for an HPC-focused data platform. Design ontologies, canonical models, data mesh domains, and interoperable data flows connecting OT/IT, HPC, cloud, telemetry, and business systems to enable analytics, digital twins, simulations, and AI-ready data products.

The Data Management Lead documents data flows, validates datasets, analyzes data, diagnoses issues, and maintains governance documentation, focusing on data quality and analytics support.

As a Senior Associate, you will develop Power BI dashboards, enhance low-code solutions, and collaborate with tax teams to meet reporting needs. Responsibilities include maintaining tax technology assets and ensuring data accuracy.

Design, build, and maintain cloud-native data infrastructure and pipelines (AWS, Terraform, Spark/PySpark). Partner with analytics consumers to model data, ensure data quality across healthcare domains, manage BI lifecycle, enable self-service, and collaborate cross-functionally to deliver scalable ETL and warehousing solutions.

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.

Lead enterprise BI capabilities: define BI roadmap, standardize KPIs, deliver dashboards and self-service analytics (Power BI/Tableau), oversee report lifecycle, governance, and data quality. Build and manage a BI team, partner with data engineering and business leaders, introduce AI-assisted analytics, and support audit readiness.

The role requires leadership in enterprise data management, focusing on MDM, governance, data quality, and architecture, ensuring high-quality, trusted data for analytics and operational use, while managing a team and collaborating with stakeholders.

The Sr. Data Architect - Digital Director leads the design and implementation of data platforms, partners with stakeholders, and provides architectural leadership while enabling analytics and AI capabilities.

The Director of Pricing develops pricing strategies for Workers Compensation, enhances pricing models, and ensures compliance while collaborating across departments and leading a team.