Top Data & Analytics Jobs

Analyze and maintain manufacturing data systems, develop KPI dashboards, ensure reporting accuracy, and provide data-driven insights for engineering projects and cause investigations. Collaborate with operations, process engineering, quality, and manufacturing associates, occasionally collecting data on the shop floor and supporting compliance with quality standards.

Design and build a durable data storage platform that preserves source disagreements, provenance, uncertainty, historical versions, and evidence. Develop result and evidence stores, lineage tracking, versioned rules and configurations, reproducible decision records, and point-in-time entity views. Collaborate with entity-resolution and machine-learning teams to support probabilistic outputs. The role requires production data engineering experience, strong Python and SQL, PostgreSQL expertise, U.S. citizenship, and an active Secret clearance.

Conducts data collection, cleaning, management, statistical and computational analysis for education policy research. Responsibilities include building reproducible ETL pipelines, creating visualizations and research materials, applying machine learning and natural language processing, validating model outputs, managing restricted-use data, reviewing analyses, and coordinating with external collaborators. Senior responsibilities include overseeing analytical projects, documenting methodologies, managing compute and API costs, and serving as a technical contact.

Tenure-track faculty member responsible for teaching undergraduate data analytics courses, developing curriculum, advising and mentoring students, conducting a focused research program, and contributing service to the program, university, and profession. The role emphasizes interdisciplinary instruction, inclusive pedagogy, experiential learning, and collaboration across academic disciplines.

Provides strategic leadership for institutional research and effectiveness, overseeing compliance reporting, data governance, institutional studies, surveys, benchmarking, dashboards, data integrity, and evidence-based planning. Leads reporting to state, federal, accrediting, and external agencies; supports performance funding initiatives; partners with business intelligence teams; and supervises directors, analysts, programmers, and other staff.

Develop marketing budget allocation models, Early LTV metrics, performance diagnostic frameworks, and analytical tools. Analyze products, channels, campaigns, cohorts, attribution, and marketing economics using SQL, experimentation, BI tools, and spreadsheets. Support AI-based analytics development and unified BI metrics while translating findings into business rules and recommendations.

Researches and curates political and policy news, creates daily charts and graphics, produces data-driven editorial content, and supports newsletter production workflows. Uses AI tools for research and content development while maintaining accuracy and editorial judgment. Collaborates across teams, manages recurring deadlines, and identifies studies, reports, testimony, and other sources that provide meaningful context for government affairs professionals.

Designs, develops, tests, deploys, and supports enterprise data products, pipelines, transformations, and analytics solutions using Databricks and cloud technologies. Builds governed Bronze, Silver, and Gold lakehouse assets; implements data quality, monitoring, security, and access controls; and develops reusable data models and engineering components. Collaborates with architects and Agile delivery teams, participates in reviews and CI/CD, troubleshoots performance issues, automates operational processes, and documents technical solutions. The role supports reporting, operational workloads, and AI/ML use cases.

Analyzes financial activity, fees, revenues, expenditures, performance metrics, and fraud risks for a federal program. Develops dashboards and visual reports using Tableau, Power BI, and PowerPoint; supports activity-based costing, forecasting, process improvement, and workflow automation. Uses or learns Python and R scripting to transform data and generate actionable insights. Collaborates with stakeholders and produces clear documentation and presentations tailored to varied audiences.

Analyze client website and funnel data using spreadsheets, analytics platforms, and CRM tools. Create and maintain reports, investigate data anomalies, identify root causes, gather reporting requirements, document report updates, and uncover opportunities for website A/B testing. The role requires strong data literacy, attention to detail, English communication, adaptability, and willingness to learn conversion rate optimization.