Top Data & Analytics Jobs

Lead FFIO data governance and strategy: implement data catalog, maintain taxonomy and business glossaries, improve BI/reporting (OBIEE, Power BI), enable access controls, deliver training, and drive data quality and scalable reporting solutions.

Design, build, and support BI and analytics solutions. Partner with stakeholders to translate requirements into reports, dashboards, and data models, validate data quality, troubleshoot pipelines, and perform ad hoc analyses to enable data-driven decisions.

Design, build, and maintain complex batch and streaming data pipelines and integrations. Collaborate with engineering and analytics teams to model data, implement data exchange systems, automate and optimize processes, support dev/test/prod environments, ensure data quality, and participate in on-call rotation.

The Head of Originations will lead the scaling of insurance-based collateral solutions, manage transaction structuring, and refine commercial strategies in renewable energy finance.

The Senior Data Analyst will lead the design and implementation of machine learning models, analyze large datasets for business insights, and mentor junior team members, while collaborating with cross-functional teams.

The Database Administrator enhances national security by providing technical expertise in data architecture, ensuring data integrity, and optimizing database systems in an Agile environment.

The Senior Data Engineer will maintain and improve data infrastructure, design ETL processes, and create high-performance pipelines for analytics and AI initiatives using SQL and Python in cloud environments.

As a Business Systems Analyst, you will gather and analyze requirements, design systems, optimize processes, and collaborate with teams to enhance business solutions.

The Sales Analyst creates reports, analyzes data, and provides insights for decision-making in sales, supporting business planning and performance analysis.

Lead RWD analysis strategy and execution: develop technical specifications and statistical programs, perform complex observational analyses (propensity scoring, ML), validate cohorts/variables, ensure QC, collaborate cross-functionally, and communicate results to non-technical stakeholders.