Top Data & Analytics Jobs

Supports the Employee Benefits team through market and industry research, data collection, consolidation, reporting, analysis, presentations, documentation, and administrative assistance. The intern manages projects, prepares leadership materials, contributes to internal management reports, attends meetings, and supports initiatives that improve sales effectiveness and revenue growth.

Design, develop, validate, deploy, and maintain Power BI dashboards, semantic models, and reporting solutions. Gather stakeholder requirements, apply human-centered design, validate data and analytics logic, support data governance, and use AI-assisted tools responsibly. Monitor dashboard adoption, performance, quality, and business value while improving documentation, automation, reliability, and data literacy across technical and business teams.

Build and optimize data pipelines, backend services, forecasting systems, dashboards, and automated workflows supporting Starlink ground-network inventory, logistics, deployment, and reliability. Integrate ERP/MRP and logistics systems, manage hardware demand forecasting, improve supply-chain processes, monitor operational metrics, and support emergency deployments. The role requires collaboration across engineering, infrastructure, logistics, and program teams, with up to 25% travel and occasional extended or weekend hours.

Data Analytics Interns will analyze large structured and unstructured datasets, develop insights and models, validate data, build dashboards and reporting tools, and automate repeatable analytics solutions. The role supports business decisions across insurance, care management, operations, and IT. Interns will present findings to leadership, collaborate cross-functionally, attend development classes, and participate in community service. Required qualifications include an analytical bachelor’s degree program, a 3.2 GPA, RDBMS experience, communication skills, leadership, and problem-solving ability.

Guidehouse is seeking a Data Scientist to collect and analyze data, develop visualizations, ensure data governance, and support decision-making for large-scale programs within DHS.

Analyze Customer Care performance, trends, KPIs, and data quality; gather reporting requirements; define metrics and business rules; validate data solutions; develop dashboards and visualizations; and translate findings into actionable recommendations. The role partners with business leaders and technical teams to modernize legacy reporting, improve scalability, ensure data accuracy, and enable self-service analytics.

Provides strategic and technical leadership for integrated data architecture, performance dashboards, data governance, analytics, verification tools, and data quality processes in Uganda. Translates program requirements into system and analytical specifications, integrates government data sources, identifies risks through data triangulation, and supervises information systems, monitoring and evaluation, and analytics managers. The role also supports government engagement, institutional ownership, proposal development, stakeholder relations, and team growth.

Leads public financial management data analysis, fund-flow and expenditure reconciliation, fiduciary risk assessment, and verification support in Uganda. Produces dashboards, exception reports, risk flags, and evidence summaries from financial, HRIS, and administrative data. Supervises and trains analysts and verification teams, coordinates with government and project stakeholders, maintains audit trails, and identifies issues requiring targeted field verification.

Designs and leads enterprise data architecture and strategy for an asset management business. Responsibilities include defining roadmaps, data platforms, architecture patterns, database models, data warehouses, data acquisition and distribution processes, governance, security, and AI solutions. The role requires hands-on prototyping with Snowflake, Azure, Databricks, SQL, and Python, while collaborating with global teams and influencing stakeholders across business and technology functions.

Build strategic data infrastructure roadmaps, design and implement complex ETL/ELT pipelines, and deliver scalable, secure data solutions. Collaborate across teams on cloud platform selection, data management, governance, privacy, and compliance. The role requires expertise in Databricks, Snowflake, data modeling, performance optimization, and pipeline automation.

Supports a global Army intelligence training program through process improvement, performance measurement, statistical and business analysis, risk identification, stakeholder surveys, process mapping, and knowledge management. Maintains records and databases for visualization and production activities, reviews analytic products for rigor and tradecraft standards, and develops research approaches and recommendations independently.