Top Analysis Reporting Jobs in Dallas, TX

The role involves developing monetization reporting architecture, delivering insights, leading customer analytics, and ensuring data integrity for executive decision-making.

The Software Portfolio Analyst manages software renewal strategies, validates data quality for analysis, and provides actionable insights through data analysis, visualizations, and communication to decision makers.

The Credit Risk Business Analyst(Tech) liaises between business users and IT, analyzing data and managing system changes to improve credit risk processes and support strategic business decisions.

Lead complex data-driven client engagements, architect enterprise data solutions, support data analytics, and manage cross-functional teams while ensuring data governance and compliance.

Lead design and implementation of scalable data architectures and pipelines (real-time and batch), mentor junior engineers, ensure pipeline reliability and security, adopt new tools, collaborate cross-functionally, and implement data governance.

Design, develop, and maintain SSRS and Sigma reports and dashboards; write and optimize SQL; collaborate with data warehouse team; document BI tools; unit test and troubleshoot reports; manage projects independently.

As a Credit Risk Analyst I, apply analytical skills to assess risks in the credit portfolio, develop strategies, manage data, and guide credit risk initiatives.

Lead design and delivery of large data products and pipelines, mentor senior engineers, set standards and best practices, promote data/analytics across business units, collaborate on governance and curated data catalog, and present technical work externally.

The Senior Analyst will lead analytical workstreams, mentor junior analysts, and deliver impactful insights through data-driven strategies and experimentation.

The Lead Data Engineer will design and implement data solutions for imagery models, lead engineering efforts, collaborate with stakeholders, and ensure data quality and governance while optimizing data pipelines.