Top Senior Level Analytics Jobs in Houston, TX

The Oracle Cloud Financials Analyst is responsible for working with clients to understand their financial management needs, designing solutions using Oracle Fusion Financials, configuring applications, conducting testing, overseeing data migration, and training users on new systems. Post-implementation support is also a key responsibility.

The Reporting Analyst III is responsible for developing complex reports in the mortgage industry. This role involves gathering business requirements, designing reports, and developing SQL stored procedures. The analyst works closely with business units and management to improve reporting processes and fulfill ad-hoc data requests.

As an Analytics Engineering lead within the Ads Data Science team at Reddit, you will develop robust data pipelines and user-friendly tools, ensuring data quality and reliability for effective data analysis. You'll mentor data analysts and collaborate with different teams to foster a data-driven culture focusing on automation and self-service data access.

As a Senior Data Scientist at Mercury, you will derive insights from data, collaborate with Revenue, Marketing, and Growth teams, and develop data-driven experiments to improve user experience. You will build data pipelines, conduct analyses, and leverage advanced analytics techniques to inform decision-making and support the sales process through data-driven recommendations.

Sr. Analytics Engineer role at Paytient, partnering with various stakeholders to deliver data products driving operational efficiency and product improvement. Responsible for full-stack analytics engineering, data governance, creating actionable insights, and utilizing Machine Learning. Remote position in the continental U.S., excluding Montana.

The Cost Analyst II will manage and report financial data for the IT modernization program, develop cost estimates, reconcile expenditures, and provide financial reporting support to Indian Health Services leadership. Responsibilities include maintaining the Cost Element Structure and tracking contract burn rates to ensure budget compliance.

The VP of Data and Content Engineering will lead data strategy and content initiatives, develop data models, enhance user experiences, promote engineering excellence, and collaborate with cross-functional teams to drive customer value and innovation for Flexera's platforms.