Top Data & Analytics Jobs

Administer, optimize, secure, and maintain enterprise databases supporting C4I, AMOSS, ISR, and mission applications. Responsibilities include performance tuning, installation, patching, upgrades, backup and recovery, access control, troubleshooting, integration, migration, replication, documentation, and change control. The role provides on-site and deployed support across CBP operational locations, requiring collaboration with engineering teams and extensive experience in federal operational environments.

Leads enterprise analytics strategy, data integration, governance, reporting, dashboards, forecasting, and advanced business analysis. Manages analysts and partners with Sales, Pricing, Finance, Product Management, Operations, and executive leadership to translate complex data into actionable recommendations. Oversees Power BI dashboards, KPI frameworks, data quality, predictive modeling, and reporting automation to improve growth, profitability, pricing, and operational performance.

Paid 2027 summer analyst internship supporting business performance reporting, analysis, and department decision-making. Interns will create reports, analyze key performance drivers, collaborate with managers and internal customers, and work on real-world projects across departments such as Finance, IT, Supply Chain, Marketing, HR, and Operations. The role is an in-person, nine-week program at Costa Farms headquarters in Miami, Florida.

Leads the design, development, and maintenance of enterprise data architecture, including warehouses, lakes, lakehouses, operational platforms, and ETL/ELT pipelines. Manages and mentors data team members, guides cloud and technology decisions, and collaborates with Baseball Research and Development teams to optimize data storage, quality, querying, and delivery. Supports advanced data models, AI-enabled architectures, large datasets, and reporting platforms while accommodating nontraditional schedules and travel.

Leads the design, implementation, and operation of an enterprise data platform supporting secure, scalable data integration and consumption. Develops ingestion frameworks, orchestration workflows, ELT/ETL pipelines, and cloud platform services. Advances automation, CI/CD, infrastructure-as-code, monitoring, observability, governance, metadata, lineage, and data quality. Establishes engineering standards, evaluates technologies, mentors engineers, provides technical leadership, and collaborates with analytics, data product, and business teams.

Coordinates data-related activities in an in-person role. The provided description does not include specific responsibilities, qualifications, required technologies, travel expectations, or security requirements.

Designs, develops, and optimizes scalable Azure-based data engineering solutions, including lakehouses, warehouses, ETL/ELT pipelines, Databricks notebooks, and analytics workflows. The role supports enterprise reporting, AI and machine learning initiatives, feature engineering, Generative AI, and MLOps. Responsibilities include performance tuning, CI/CD automation, production support, technical design, lifecycle management, stakeholder collaboration, and translating business requirements into secure, reliable data platforms.

Analyze manufacturing, inventory, quality, and production data to support operational decision-making. The intern will write SQL queries, streamline reporting, validate datasets, build dashboards, investigate open-ended business questions, and translate raw data into actionable insights. The role partners with production, quality, supply chain, engineering, and leadership teams in an in-person manufacturing environment.

Develops healthcare quality, safety, research, and process-improvement datasets, analyses, reports, dashboards, and statistical process control charts. Translates project requirements into SQL, SAS, and statistical programs using Epic data sources, validates extracts, and documents findings. Partners with clinicians, researchers, operational leaders, and IT staff while managing project plans, risks, dependencies, and data privacy requirements.

Defines and evolves enterprise data architecture supporting analytics, reporting, governance, integration, and AI capabilities. Designs scalable Lakehouse and Medallion architectures, data models, contracts, APIs, and event-driven integrations. Establishes governance standards and trusted data products while aligning platform investments with business and regulatory needs. Leads modernization initiatives, develops data strategy and roadmaps, supports KPI frameworks, mentors technical talent, and guides distributed engineering teams.