Top Analysis Reporting Jobs in Houston, TX

As a Senior Associate in Oracle OFSAA Solution Design, you'll analyze client needs, design solutions using Oracle tools, and lead data projects while mentoring junior teammates. You'll enhance client relationships and develop AI solutions for business transformation.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

As a Senior Associate in the Consulting team, you will analyze client needs, implement Oracle solutions, mentor juniors, and manage client relationships while adapting to AI technologies.

The role involves designing and maintaining data pipelines, developing data architectures, ensuring data security, and leading data engineering teams while collaborating with stakeholders.

The role involves leading data analytics to drive strategy, conduct risk assessments, and improve data systems within the data strategy team.

The Data Analyst II will analyze data insights, develop dashboards/reports, gather requirements, and collaborate across teams to support business decisions.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

The Analyst/Principal Analyst evaluates technology and investment opportunities in energy markets, produces research reports, and supports client inquiries.

The Associate, Quantitative Power Analyst conducts market research, analyzes data, creates supply and demand models, and supports trading activities in the US energy markets.

The Principal Data Owner for Power Markets will manage data quality, ownership, and documentation, ensuring accurate data supports analysts and decision-making.

This role involves managing CLO reporting, compliance, and model accuracy while liaising with clients and resolving data issues. Requires quantitative finance expertise and proficiency in reporting tools like VBA and SQL.

Lead RPA (Risk, Performance, and Attribution) data domain, ensuring data integrity, managing product roadmaps, applying data modeling techniques, and driving data governance.