Top Data & Analytics Jobs

Manage MSSQL and PostgreSQL databases, including installation, configuration, monitoring, performance tuning, security, backup and recovery. Develop optimized SQL queries, stored procedures, triggers, and views. Use AWS services for database deployment and scaling, Git/GitHub for version control, and collaborate with developers and system administrators. Support data warehouse design, ETL processes, reporting requirements, and database troubleshooting.

Build and own analytics for Provider Operations, including funnel, coverage, quality, tiering, retention, forecasting, and rate strategy. Develop dashboards, recurring reports, quality frameworks, and forecasting models that support operational decisions. Partner with Recruiting, Calendar Operations, Product, Engineering, and Data teams to improve tools and instrumentation. Present actionable insights to leadership and drive adoption.

Own data architecture and infrastructure decisions, design and optimize data models, ETL workflows, pipelines, and data lakes, and improve scalability and reliability. Monitor workflows, create automated tests and alerts, resolve incidents, conduct root cause analysis, ensure data quality, and collaborate with cross-functional teams and vendors. Serve as a technical expert, escalation point, and mentor for the data solutions team.

Senior Business Intelligence Analyst who develops and governs Power BI dashboards, analyzes clinic performance metrics, ensures reporting accuracy, and translates operational needs into technical requirements. The role manages BI projects end to end, prioritizes analytics tickets, presents insights to executive stakeholders, establishes reporting standards, contributes to data-model requirements, and mentors junior analysts across clinical and corporate operations.

Leads enterprise analytics, reporting, data engineering, and data platform teams. Sets strategy, manages managers and technical teams, drives modernization and roadmap execution, and partners with business and technology leaders. Oversees scalable, secure, governed analytics solutions using Microsoft and Databricks technologies while establishing standards for data management, reporting, operational support, and self-service analytics. Also supports AI-enabled capabilities, vendor relationships, budgets, and high-performing team development.

Supports Navy Reserve data modernization by designing and maintaining enterprise data architectures, pipelines, observability, governance, and integrations. Automates data feeds, consolidates information from multiple systems, analyzes capability gaps and vulnerabilities, and implements interoperable data ecosystem strategies. The role requires coding, Alchemy pipeline modification, and familiarity with Navy Reserve systems, Advana, VAULTIS, and DOTMLPF-P. Daily on-site work in Virginia Beach and an active Secret clearance are required.

Performs configuration and data management for DOD and commercial systems. Supports configuration control, engineering change proposals, technical documentation, audits, configuration control boards, contract technical packages, and procedural compliance. Maintains data applications, configuration management plans, technical specifications, and organizational standards while coordinating hardware and software configuration changes.

Design and optimize Snowflake data warehouses, dbt transformation models, and scalable ETL/ELT pipelines. Develop ingestion utilities, improve SQL and warehouse performance, establish data quality and governance controls, and maintain CI/CD workflows using Git. Collaborate with analysts, data scientists, and business stakeholders across manufacturing, supply chain, and operations. The role also supports modern DataOps practices and may involve orchestration tools and cloud platforms.

Leads Major League Soccer’s Marketing Science function, overseeing teams and external resources while developing marketing analytics strategy. Partners with Marketing, CRM, Technology, Product, and Data Engineering teams to improve audience targeting, personalization, campaign measurement, media investment, and fan growth. Oversees predictive modeling, AI and machine learning applications, media mix modeling, experimentation, attribution, and CRM activation. Communicates analytical insights and strategic recommendations to executive stakeholders across League and Club organizations.

Leads a small team responsible for SQL Server data warehousing, ETL pipelines, outbound data feeds, and enterprise Power BI. Oversees platform operations, governance, reliability, and self-service BI adoption while helping establish a Databricks and Azure cloud data platform. The role drives data modeling, quality, security, Agile delivery, vendor management, and stakeholder partnerships, while applying AI tools to improve engineering and analytics workflows.