Top Data & Analytics Jobs

Performs data extraction, transformation, loading, validation, and documentation for natural-origin fish datasets. Builds and automates workflows using SQL, ArcGIS Pro, R, and related tools; maintains regional database exchange structures; creates queries, reports, maps, and data summaries; supports biologists and partner organizations; responds to technical data requests; and may mentor a junior specialist. Occasional regional travel may be required.

The Category Analyst leads sales and category analytics for Costco, tracking initiative performance, regional and store-level trends, inventory, promotions, assortment, and innovation. They use syndicated and household panel data to develop actionable insights, forecasts, presentations, and recommendations for sales, marketing, supply chain, brokers, and buyers. The role also manages recurring performance reviews, data storytelling, cross-functional communication, and regional growth analyses.

Provide data-driven insights for executive decision-making and long-term planning across service lines. Mine and validate multiple data sources, produce regular and ad-hoc reports, support growth initiatives and forecasting, and present actionable recommendations to leadership to improve care and operations.

Build and own Shepherd’s canonical analytical layer using dimensional modeling and dbt. Partner with actuarial, reporting, operations, engineering, and other data consumers to define trusted business entities, facts, dimensions, relationships, and rules. Establish testing, reconciliation, documentation, lineage, and adoption practices; evaluate and migrate existing models and datasets; and shape semantic context for human and AI-assisted analytics.

Develops enterprise analytics solutions using Microsoft Fabric and Power BI, including semantic models, dashboards, KPI scorecards, and complex DAX calculations. Transforms business data into actionable insights through visualization and storytelling. Supports data quality, master data management, reporting governance, documentation, and performance optimization while partnering with stakeholders across manufacturing, operations, sales, and finance.

Business Analyst analyzing operational and financial data to deliver reporting, insights, business cases, and process improvements. The role develops complex Excel-based tools, evaluates metrics and budgets, supports vendor and cross-functional activities, manages projects, and provides data-driven recommendations to leadership. Candidates should have business analysis or financial management experience, strong Excel and analytical skills, and preferably SQL, billing systems, and broadband industry knowledge.

Designs, deploys, tests, and supports integrations connecting systems, software, databases, and business processes. Investigates integration issues, implements continuous improvements, and provides technical expertise to internal teams, customers, carriers, vendors, and third parties. The role also requires building ETL processes, data warehouses, tables, and pipelines; querying SQL data; creating reports and dashboards; performing statistical analysis; programming in R or Python; and managing teams or external vendors.

Lead technical design and hands-on development of Pantheon’s data platform, extending ingestion, curation, retention services and ML/LLM infrastructure. Mentor engineers, drive architecture and engineering standards, operate in a DevOps model, partner cross-functionally, and participate in on-call support to ensure reliable, compliant data access and analytics.

Analyze healthcare billing, payment, and medical review datasets; develop monitoring summaries and statistical analyses; support federal healthcare policy research; and collaborate with analysts and policy experts on project-based analytical solutions.

Own and evolve UJET’s data platform, including MySQL CDC replication to BigQuery, dbt transformations, Terraform infrastructure, pipelines, data quality, observability, and Looker models. Build reliable, analytics-ready datasets and trusted metrics for internal and customer-facing reporting. Partner with Analytics, Finance, Product, and Engineering to deliver scalable data solutions, improve platform reliability, optimize performance and costs, and establish development standards and guardrails.