Top Data & Analytics Jobs

Designs and maintains production data pipelines, models claims and operational data, and improves reliability through testing, monitoring, and alerting. Owns workflow troubleshooting, backfills, performance optimization, documentation, access controls, and CI/CD practices. Partners with business and technical teams to define requirements and deliver trusted datasets using SQL, Python, cloud data warehouses, and orchestration tools.

Designs and maintains scalable data pipelines, data platforms, reporting infrastructure, reconciliation systems, and self-service tools. Develops customer-facing and internal applications, integrates external data, improves data quality and auditability, and optimizes near-real-time processing. The role requires collaboration with engineering, analytics, product, data science, and security teams, along with participation in on-call support and technology evaluation.

Lead PMG’s analytics organization across clients, industries, and regions. Define the analytics capability roadmap, scale teams, guide senior client relationships, and align measurement strategies with business objectives. Oversee attribution, incrementality, reporting, experimentation, and data architecture while partnering cross-functionally. Manage Director-level leaders, succession planning, performance processes, governance, and thought leadership. Use AI, automation, and emerging analytics technologies to improve efficiency, decision-making, and marketing performance.

Own and evolve the enterprise Microsoft Fabric data lake, including architecture, pipelines, transformations, data models, reliability, cost, and DevOps. Lead data governance, quality, lineage, metadata, master data, access controls, and certified metrics. Build Power BI models supporting reporting and AI applications, write production code, transition platform ownership from a vendor, and lead two developers. Partner with business and technology stakeholders while preparing governed data for AI and agentic solutions.

Establishes and maintains knowledge-management processes, repositories, collaboration tools, taxonomies, workflows, and documentation for classified U.S. Space Force programs. Organizes and validates information from multiple government stakeholders, develops dashboards and leadership products, supports SharePoint, Jira, and Confluence environments, and improves information accessibility, version control, and collaboration. The role also provides end-user assistance, manages sensitive data, documents lessons learned, and supports decision-making through accurate, actionable program knowledge.

Designs, administers, secures, and optimizes MongoDB and relational database environments. Responsibilities include schema and data modeling, high availability, sharding, performance tuning, backup and disaster recovery, security controls, automation, and Linux administration. The role collaborates with Agile Scrum teams, developers, cloud engineers, and government stakeholders while supporting CBP and DHS compliance requirements.

Conduct research, data analysis, program monitoring and evaluation, and administrative support for USTDA portfolio activities in Europe and Eurasia. The role involves compiling data, assessing program effectiveness, developing recommendations, conducting internet and database research, and drafting reports, briefing books, correspondence, and other professional documents. Candidates must work independently, manage multiple tasks, and obtain a Secret security clearance.

Leads reporting, analytics, and data infrastructure activities supporting U.S. business units. Supervises analysts, standardizes KPIs and reporting, ensures data quality, coordinates data engineering and governance with IT, supports M&A integrations, and oversees dashboards, financial reporting, dataflows, and analytics resources. Requires strong Power BI, Excel, SQL or R, automation, BI operations, and stakeholder-management skills.

Manages debris-monitoring data, ticket reconciliation, quality assurance, reporting, documentation, and invoice discrepancy review. Tracks reconciled, unreconciled, and voided load tickets; coordinates with hauling contractors and clients; maintains project records; prepares payment recommendations and closeout documentation. The role requires exceptional Microsoft Excel skills, debris-monitoring knowledge, accurate data analysis, strong communication, and the ability to work extended hours in demanding response conditions.

Own end-to-end data initiatives, including scalable ingestion and transformation pipelines, reusable data models, orchestration, validation, monitoring, and production operations. Improve performance, reliability, and infrastructure costs while partnering with product, operations, platform, ML, and engineering teams. Establish data engineering standards through technical design, code reviews, documentation, mentorship, and strong data quality and security practices.