Top Data & Analytics Jobs

Lead business intelligence strategy across product, clinical, commercial, finance, and engineering teams. Build measurement frameworks, semantic layers, reporting solutions, and visualizations that demonstrate business value and support data-informed decisions. Own the data lifecycle from ideation through client-facing delivery, ensure data governance and integrity, and translate complex datasets into actionable insights. Collaborate on scalable data architecture and apply statistical methods, advanced analytics, and emerging AI-driven BI capabilities.

Own an analytics project for go-to-market teams by combining CRM, campaign, and account data with SQL and Python. Build reusable data models, define acquisition and pipeline metrics, investigate data quality issues, add validation checks, and create dashboards and analyses. Communicate findings, recommendations, assumptions, and limitations to stakeholders while documenting reproducible workflows.

Develops and supports scalable Qlik Sense business intelligence solutions, including data models, load scripts, QVD layers, dashboards, reports, visualizations, and ETL processes. Partners with stakeholders to define reporting requirements, writes SQL, integrates data from multiple sources, optimizes performance, troubleshoots application and data issues, and supports Qlik governance and self-service analytics.

Build and maintain automated ETL/ELT data pipelines, improve data quality and monitoring, optimize Postgres and BigQuery schemas and queries, develop internal tooling, support data governance (HIPAA), participate in on-call rotation, and collaborate across engineering teams to scale data systems.

Designs and maintains data architecture, canonical schemas, ETL/ELT pipelines, cloud data warehouse integrations, governance standards, data lineage, and documentation. Partners with engineering, product, business teams, and vendors to ensure reliable, trustworthy data. Designs data access patterns for AI and LLM applications, including retrieval-augmented generation and minimum-necessary-data principles.

Maintains and develops databases supporting maintenance information and inventory management systems. Responsibilities include database security, disaster recovery support, performance assessment, application development leadership, logical database design, reporting and storage functions, database management tools, vendor coordination, and technology evaluation. Requires experience with relational databases, MySQL Server, T-SQL, data management, and IT operations. The role includes occasional travel, federal background screening, and potential security clearance requirements.

Design and implement scalable, secure enterprise data solutions on Databricks and Azure using Delta Lake and Medallion Architecture. Lead and mentor data engineering teams; define integration patterns, governance, security (Unity Catalog, RBAC, masking, row/column-level security), and CI/CD/IaC practices. Ensure data quality, lineage, monitoring, and optimize Spark/Delta workloads for performance and cost while aligning solutions with business needs.

Leads enterprise data governance initiatives, including policy and standards development, governance conformance, data quality, metadata requirements, and data issue resolution. Facilitates cross-functional decisions among business and technical stakeholders, manages governance artifacts, supports privacy and regulatory compliance, and delivers training to improve responsible data use and data literacy.

Build and operate production-grade data pipelines and products for manufacturing customers. Lead discovery, architecture, implementation, testing, deployment, documentation, and operational handoff. Model manufacturing data, ensure data quality and observability, and create reusable pipelines and analytics products. Work directly with customer data, manufacturing, IT, product, and engineering teams to solve ambiguous operational problems and deliver reliable solutions.

Designs and governs enterprise data architecture across Azure, Microsoft Fabric, OneLake, Dynamics 365 F&O, and Dataverse. Establishes architecture standards, patterns, governance, data modeling, integration, metadata, lineage, data quality, and master data practices. Defines current, transition, and future-state architectures; guides implementation with engineering teams; evaluates technologies; resolves complex technical issues; mentors engineers; and reduces technology complexity and technical debt.