Top Analysis Reporting Jobs in Dallas, TX

This role involves analyzing complex systems, collaborating with stakeholders, and managing project specifications using Agile practices. The candidate will design user stories, support testing, and facilitate process modeling initiatives.

The Quantitative Analyst will analyze models and model risk practices, applying statistical and machine learning methods while collaborating with cross-functional teams to enhance business strategies and performance.

The Lead Analytics Consultant will develop dashboards and conduct data analytics for Compliance, leading complex analyses and presenting findings to senior leadership. Responsibilities include managing project teams and collaborating with business partners on analytical projects.

The Data Engineer will design, develop, and analyze data integration solutions and data workflows, collaborating in an agile environment while improving data accessibility and quality.

The Finance Systems Administrator II maintains Zuora Billing systems, collaborates with finance and IT teams, and enhances financial processes with automation and optimization.

The Senior Analyst, Fraud Investigations will identify and analyze fraud patterns, conduct investigations, and develop strategies to mitigate losses. They will leverage SQL and Snowflake to work with complex datasets and collaborate with multiple teams to enhance fraud detection frameworks.

As a Senior Associate, you'll enhance customer interactions by translating client requirements into workflows, applying UX principles, and analyzing data for decision-making while leading stakeholder workshops.

As an Analyst in Fund Administration, you will support tax compliance processes, coordinate with external tax preparers, and engage with clients to provide high-quality tax information and administration support.

The Sr. Associate will provide valuation support, manage valuation models, and produce property performance reports for portfolio companies and Blackstone.

Monitor and analyze the performance and reliability of deployed Generative AI systems. Collaborate cross-functionally to improve GenAI services, track KPIs, and drive operational improvements.