Top Data & Analytics Jobs

Supports the Business Intelligence team by gathering requirements, analyzing data, building and migrating dashboards, developing reporting solutions, customizing datasets, and documenting processes. The intern collaborates with stakeholders and technical teams to improve decision-making, reporting workflows, and business performance. The role requires strong Excel skills, analytical ability, communication, problem-solving, and interest in business intelligence, data visualization, and AI-enabled tools.

Support data collection, cleaning, preprocessing, exploratory analysis, data quality monitoring, and dashboard, chart, and report development. The intern will identify trends and actionable insights, resolve data discrepancies, collaborate with stakeholders, and stay current with data analytics techniques and technologies.

Administer, optimize, secure, and troubleshoot enterprise on-premises and cloud database environments. Manage PostgreSQL high availability, backups, recovery, disaster recovery, access controls, auditing, data governance, performance tuning, and production incidents. Develop SQL queries, scripts, reporting logic, and Power BI dashboards. Automate administrative tasks and independently support complex federal enterprise environments while meeting DoD 8140 qualification requirements.

Reviews inspection data and reports for accuracy, validity, procedural compliance, and timely client delivery. Maintains project records, communicates with NDE technicians and clients, completes computerized reports, researches procedures, and supports quality control, training, safety, and special projects. Requires knowledge of pipeline integrity operations, coding, ultrasonic inspection, and magnetic particle inspection.

Performs linguistic and metadata quality assurance for consumer technology products, evaluating written and spoken content across assigned languages and locales. Reviews and creates Music and TV application content, follows testing instructions, style guides, glossaries, and quality standards, and collaborates with international teams to improve product and partner data quality. Requires strong language and cultural expertise, spreadsheet skills, attention to detail, and comfort with repetitive computer-based work and potentially offensive content.

Build and own production-grade data pipelines, source connectors, warehouse transformations, curated models, reconciliation, lineage, and data quality systems. Design scalable dbt projects and orchestration workflows using Airflow or Dagster, optimize warehouse performance, integrate messy enterprise systems, and ensure pipelines are reliable, idempotent, auditable, and cost-effective. Collaborate with backend and AI teams, establish data contracts, review work, and mentor engineers.

Administers, secures, maintains, and optimizes databases supporting U.S. Navy electronic warfare systems. Responsibilities include database configuration, upgrades, backups, recovery, performance monitoring, troubleshooting, data integration, security controls, documentation, and coordination with development, systems administration, and cybersecurity teams. The role supports lifecycle engineering, sustainment, reliability, readiness, and mission-critical data availability.

Collects, analyzes, and interprets data to support business decisions and improve operational performance. Develops automated reports, dashboards, and visualizations; performs statistical and data-mining analysis; supports labor, financial, and operational reporting; ensures data integrity; partners with departments on data-driven solutions; recommends process improvements; and assists with databases, integrations, system implementations, and analytics documentation.

Build and maintain dbt and semantic data models in Snowflake, develop ingestion and transformation pipelines, define trusted product metrics, and improve data collection. Partner with Product and Engineering to support experimentation and feature analysis. Establish data quality testing, documentation, HIPAA-aware access controls, and compliance practices. Use and validate AI-generated code and Snowflake Cortex outputs while raising technical standards across the team.

Build customer health scores, churn and expansion analytics, retention dashboards, automated alerts, and executive reports. Maintain integrations among databases, CRM, and BI tools while improving data quality and standardizing reporting. Lead AI adoption for analytics, validate generated insights, and enable customer-facing teams to make informed retention and expansion decisions. Requires strong BI, logistics or supply chain analytics, dashboarding, data integration, communication, and customer-focused skills.