Top Data & Analytics Jobs

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.

Analyze user behavior, feature adoption, and retention across a B2B SaaS platform to generate evidence-based product insights. Track journeys, run cohort and funnel analyses, support A/B testing, define product KPIs, ensure data accuracy, and provide structured recommendations to inform roadmap and improve adoption and retention.

Design, build, test and maintain scalable BI solutions. Partner with business stakeholders to gather requirements, produce overall solution design, perform root cause analysis, and optimize performance for complex healthcare business processes.

Gather and document business requirements for GRC implementations, translate regulatory needs into functional specs, build dashboards/reports (SoD, remediation, control effectiveness), support client onboarding and process mapping, manage Agile ceremonies in JIRA/Confluence, and prepare audit-ready documentation while liaising between compliance stakeholders and technical delivery.

Analyze GIS data and OSP designs to evaluate fiber expansion opportunities. Conduct feasibility studies, cost and financial impact analyses, resolve GIS-project discrepancies, prepare reports, and collaborate with engineering, construction, and business teams to support planning and deployment.

Design, implement, and maintain ETL/ELT pipelines and data models for the enterprise EDW. Troubleshoot and optimize performance, ensure data integrity and security, produce SQL-based reports for business consumers, and support complex data management processes across cross-functional teams.

Own end-to-end analysis of payments, chargebacks, and user lifecycle to identify drivers of net loss. Deep-dive into fraud cases, design and evaluate A/B experiments and risk-rule changes, build monitoring dashboards, partner with Risk, Payments, and Product to convert insights into mitigations, and run ad-hoc analyses of emerging loss trends.

Manage and improve data processes, build and maintain Power BI reports and SQL Server datasets, monitor KPIs, develop SOPs, support stakeholders with analytics and training, and lead ad-hoc profitability and service-metric analyses to drive operational efficiency.