Top Data & Analytics Jobs

Quantitative Researchers at Xantium analyze financial datasets, develop quantitative trading models, and support trading operations. They collaborate with senior staff and enhance their research skills, primarily in mathematics and statistics.

Design, build, and operate scalable batch and real-time data pipelines and infrastructure. Own end-to-end data products, establish observability and data quality, troubleshoot production issues, document architectures and runbooks, and partner with analytics, ML, and product teams to deliver reliable, self-serve data solutions.

Design, build, and maintain enterprise Power BI dashboards and data models. Integrate multiple data sources, write DAX, ensure data quality and performance, support stakeholders with requirements, documentation, governance, and ad hoc analytics to enable operational and executive decision-making.

Lead the creation and scaling of a centralized Power BI function across multiple divisions. Establish governance, semantic models, security, release management, and standards. Build and lead a BI team, design complex row-level security, combine cross-division datasets, and deliver certified, performant Power BI reports and data products while partnering with stakeholders and maintaining hands-on architecture and development.

Lead and grow a client-facing analytics team to transform measurement from reporting to strategic advisory. Define measurement strategy, develop scalable frameworks, advise executives, drive vertical analytics, partner with Product and Data teams, and embed AI to improve insight generation and operational efficiency.

Design, build, and operate the credit fund's end-to-end data and automation stack. Implement deal workflow, ingest borrower financials and payment telemetry, develop Python credit scoring and forecasting models, ship audit-grade investor and borrower dashboards, enforce security and auditability, and move into portfolio monitoring and underwriting while presenting results to LPs and borrowers.

Design, build, and operate scalable data pipelines and systems; own data architecture, data quality, SLAs, query performance, and reusable tooling; collaborate with engineering, AI, data science, and product teams; mentor engineers and promote observability and testing best practices.

Support data validation, cleansing, metadata and records management for Head Start grant recipients. Maintain data processes, run basic SQL queries, produce reports, monitor data quality metrics, manage document repositories, support data governance and compliance, and collaborate with stakeholders to resolve data issues and improve workflows.

Build and maintain production data pipelines and models using SQLMesh, BigQuery, and Python. Improve observability, reliability, and performance; support finance and revenue pipelines; participate in on-call rotation and own features end-to-end.

Lead end-to-end enterprise architecture for a cloud-based data and analytics ecosystem: design scalable, secure ETL/ELT, OLAP/OLTP, data models, documentation, and ensure FedRAMP/DoD IL5 and Zero Trust alignment.