Top Senior Data & Analytics Jobs

Leads production planning, budgeting, forecasting, performance management, competitive intelligence, and executive reporting. Establishes production targets, analyzes variances and marketing economics, identifies risks and opportunities, and provides actionable insights to senior leadership. Partners cross-functionally with Finance, Marketing, Credit, and Operations while modernizing reporting and decision-making through AI-enabled tools, automation, advanced analytics, and improved monitoring capabilities.

Build and migrate production data engineering and machine learning workloads to Databricks on Azure. Assess on-premises SQL Server and SSIS systems, develop PySpark and Spark SQL pipelines, implement governance with Unity Catalog, and create reusable CI/CD assets. Work directly with Department of Veterans Affairs teams through requirements sessions, workshops, training, and documentation. Depending on focus, build ML workflows or modernize ETL, reporting, semantic models, and Power BI solutions.

Leads modernization of legacy data platforms and architects scalable batch and streaming pipelines on Azure and Databricks. Designs lakehouse and dimensional warehouse models, integrates REST APIs, implements data quality and observability frameworks, and establishes CI/CD and infrastructure as code. Uses OpenAI and Anthropic for AI-assisted engineering and validation. Mentors engineers, drives architecture decisions, and owns data reliability, governance, security, and performance.

Serves as the technical authority for Azure SQL architecture, deployment, security, performance, operations, and migrations supporting federal programs. Designs secure Azure Government database environments, leads on-premises SQL Server migrations, develops T-SQL and data models, builds Azure Data Factory pipelines, implements DevOps and infrastructure automation, troubleshoots incidents, optimizes costs, documents standards, and mentors team members. Collaborates with engineering, architecture, data, and DevOps teams on reliable data platforms.

Leads end-to-end Power BI development, including data modeling, ETL/ELT, Power Query transformations, DAX calculations, dashboard creation, quality assurance, and stakeholder reporting. Integrates Microsoft platform data, automates workflows with Power Automate, and develops Python-based predictive analytics and machine learning models. The role supports DTRA and requires federal government, DoD briefing, data governance, and audit-readiness experience.

Owns end-to-end digital measurement across ecommerce and digital marketing, including GA4, Google Tag Manager, server-side tagging, measurement plans, tracking audits, KPI definition, experimentation support, attribution analysis, and analytics governance. Partners with Marketing, Ecommerce, CRM, Merchandising, and Development teams to ensure accurate, actionable data and adapt measurement to platform, browser, and privacy changes.

Leads the architecture and development of scalable data pipelines, real-time ingestion systems, web scrapers, databases, and medallion data architectures. Builds and maintains data transformation and validation workflows across large datasets, optimizes performance, partners on Tableau and R Shiny data products, and mentors analytics engineers. The role also sets technical standards, influences architecture and roadmap decisions, and supports sports data initiatives across NBA, NFL, and international soccer.

Leads analysis of retail and supply chain operations, identifying inefficiencies and opportunities for process improvement. Builds KPIs, dashboards, and reports; translates business needs into data and technical requirements; partners with IT, analytics, business units, and distribution centers; presents recommendations to leadership; ensures data governance and accuracy; supports high-impact initiatives; and trains junior analysts.

Leads California market business intelligence, reporting, provider analytics, dashboards, scorecards, predictive analysis, and data governance. Partners with operational, clinical, quality, compliance, finance, provider network, and executive teams to monitor performance, utilization, network adequacy, regulatory requirements, and member outcomes. Ensures data integrity, develops actionable recommendations, supports delegated oversight and audits, and drives reporting automation, strategic initiatives, and continuous performance improvement.

Leads complex data extraction and transformation workflows across large, heterogeneous datasets and non-standard formats. Assesses source systems, develops defensible extraction strategies, troubleshoots difficult data conditions, and creates reusable methods, quality controls, and documentation. Partners with eDiscovery, analytics, forensics, and client-facing teams, while scoping technical work, identifying risks, supporting pricing, escalating issues, and guiding junior staff.