Top Data & Analytics Jobs

Leads enterprise business intelligence and data analytics for a U.S. Combatant Command program. Develops Power BI architectures, dashboards, data models, pipelines, KPIs, and reporting products for leadership decision-making. Establishes data governance, quality, provenance, metadata, access controls, and authoritative data sources across classified and unclassified environments. Translates stakeholder decision needs into analytic requirements, evaluates knowledge-management initiatives, supports AI and machine-learning capabilities, documents solutions, trains users, and mentors analysts.

Collects, analyzes, and validates aircraft system data; prepares and publishes monthly CASS reports; monitors mechanical interruptions, service difficulties, and adverse trends; reports qualifying events to the FAA; compiles fleet-level statistics; identifies irregularities; and submits data reports to manufacturers, regulatory agencies, and other entities.

Interns will code software to automate processes, scrape and collect large datasets, and conduct advanced econometric analyses to investigate fraud across finance, healthcare, and cryptocurrency domains. The role involves individual and team projects, applying data science and econometric techniques, and translating academic knowledge into real-world consulting and forensic analytics applications.

Lead the technical strategy and architecture for a scalable clinical data platform. Drive cross-team engineering initiatives, redesign legacy data pipelines, build batch and streaming systems, develop deployment and self-service tooling, improve monitoring, manage data models and governance, ensure privacy and security, and mentor engineers. Partner with product, AI, infrastructure, health systems integration, and business intelligence teams to deliver reliable, extensible data capabilities.

Designs scalable Databricks solutions and ETL/ELT pipelines while administering MariaDB and SQL Server environments. Responsibilities include database design, performance tuning, backup and disaster recovery, security and access management, data modeling, quality and lineage, and troubleshooting complex data issues. The role collaborates with stakeholders and technical teams, translates requirements into secure solutions, provides technical direction, and delivers demonstrations and training for Department of Transportation support.

Cleans, analyzes, validates, and reports HIV program data from CAREWare, EvaluationWeb, surveillance, testing, prevention, and other sources. Develops data quality checks, resolves inconsistencies, matches datasets, supports reporting and quality management, provides technical assistance to subrecipients, troubleshoots data systems, and translates findings into actionable recommendations for public health leadership and programs.

Lead daily PostgreSQL and SAP ASE database administration for a federal client, including monitoring, replication, backup and recovery, security, performance tuning, capacity planning, migrations, upgrades, and disaster recovery. Support ASE-to-PostgreSQL schema conversion and cutover activities, troubleshoot production issues, manage ticket triage, mentor DBAs, coordinate with project managers, and provide database architecture guidance in a 24x7 environment.

Leads cross-functional data management and analytics projects for pharmaceutical and life sciences clients. Responsibilities include data warehouse development, ETL and schema design, data analysis, process optimization, client communication, project management, business development, and mentoring junior staff. The role also provides strategic guidance, develops reporting solutions, manages timelines and resources, and contributes to internal data platform initiatives.

Own marketing analytics and measurement to improve acquisition, campaign performance, and marketing ROI. Lead multi-touch attribution, marketing mix modeling, A/B testing, incrementality studies, and KPI analysis. Partner with Marketing and Product to improve data quality, translate complex findings into recommendations, influence senior stakeholders, and coach peers on analytics practices.

Leads RentSpree’s Data organization across data engineering, data science, analytics, and strategy. Owns the data and ML roadmap, analytics self-service, experimentation standards, governance, data quality, vendor strategy, and GTM data foundation. Manages analytics leaders and partners with engineering, product, finance, executives, and the Board to drive data-informed strategy. The role also scales globally distributed teams, develops talent, and remains hands-on enough to review SQL, models, metrics, and warehouse architecture.