Top Senior Level Analytics Jobs in Houston, TX

As the Manager of Data Exchange Support, you'll lead efforts to enhance data exchange operations with a 24/7 support model. Responsibilities include managing KPIs, improving observability through automation, handling root cause analyses, collaborating with cross-functional teams, and ensuring excellent customer service. You'll also manage a team of specialists and oversee disaster recovery planning.

The Investment Portfolio Analytics Manager will oversee the investment data and analytics platform, manage a team of Analysts, ensure accuracy of analytic outputs, redesign asset allocation models, produce quarterly reports, and coordinate with various teams for investment-related data.

The Data Science Manager will lead a high-performance team of data scientists to influence growth and user retention through actionable insights. Responsibilities include mentoring team members, driving data-driven decision-making, and collaborating with engineering and product teams to enhance user experience. The role also involves communicating complex findings to diverse stakeholders and fostering an inclusive team culture.

Looking for a Sr. Data Scientist to design, build, and train algorithms and models for large enterprise customers. Responsibilities include collaborating with stakeholders, data manipulation, authoring reports, engaging with development teams, and driving thought leadership. Qualifications require an advanced degree or exceptional ability in a relevant field, 3-5+ years of hands-on experience, knowledge in mathematics and machine learning, and strong computer science fundamentals.

The Financial Systems and Data Analytics Lead will design, implement, and maintain systems for financial data analytics and process automation, collaborating with cross-functional teams to automate accounting entries, support month-end close, and create financial reports, while also engaging in data management and ad-hoc analytics projects.

As a Senior Manager in Data and Analytics, you will lead client projects by designing, developing, and implementing processes and tools to enhance data usage. Responsibilities include managing project scope and budgets, collaborating with stakeholders, translating analytics into insights, and overseeing project execution.

The Senior Data Modeler will analyze business needs to create long-term data models, optimize SQL systems, maintain data integrity, and establish design standards for data modeling at BILL. They will support the customer experience and operations teams in enhancing data workflows and insights.