Top Senior Level Data & Analytics Jobs in Houston, TX

The Senior Manager of Data Engineering will guide a team in developing large-scale data solutions, leveraging Google Cloud Platform and data engineering expertise to transform client data into actionable insights. Responsibilities include client interaction, project execution, and mentoring team members to uphold high development standards.

Conduct in-depth analysis of power markets and develop risk reporting and analytics. Support model enhancement and risk metrics recommendations to senior stakeholders. Utilize statistical techniques on large datasets for actionable insights and construct dashboards for P&L and analytics.

The JDE Functional/Technical Analyst will provide advanced technical support for JD Edwards applications, develop and implement orchestrations for process automation, and integrate JDE with other systems using APIs. Responsibilities include conducting technical analyses, collaborating with teams for project delivery, maintaining documentation, and mentoring team members.

The Data Solutions GTM Lead will strategize to grow Spaulding Ridge’s Data Solutions business, focusing on sales cycles, client relationships, and market offerings for cloud-based solutions. Responsibilities include leading sales efforts, developing partnerships, ensuring revenue targets are met, and establishing thought leadership within the industry.

The Sr. Business Systems Analyst leads complex business system studies, develops solutions to operational problems, and ensures the effective functioning of business systems. They manage project implementation, provide guidance to staff, and act as a liaison between users and IT, especially for SAP and third-party software. The role involves evaluating new technologies and ensuring data security according to corporate policies.

The Senior Director of Engineering and Data Science at Fluence leads software engineering and data ops teams, focusing on developing AI-based solutions and aligning initiatives with business goals. The role involves shaping architectural decisions, optimizing performance, and fostering a culture of innovation. Collaboration with executives and mentoring team members are also key responsibilities.

The Senior Analytics Engineer will design, build, and maintain data models to drive business insights, collaborate closely with stakeholders, implement data automation, and enhance analytics capabilities. The role involves managing multiple projects, defining best practices for data sourcing, and communicating updates effectively across teams.