Top Data & Analytics Jobs

Provides strategic business analysis for virtual-care operations, translating stakeholder needs into business requirements, process designs, use cases, scope matrices, sequence diagrams, future-state proposals, and UAT plans. Leads or supports multiple projects, manages scope and milestones, improves data quality and reporting, builds business partnerships, and supports implementation of business solutions. Requires strong analytical, communication, project coordination, systems administration, and dashboard-development skills.

Supports ticket sales strategy through recurring and ad hoc reporting, dashboard and dataset maintenance, sales trend analysis, commission data validation, and revenue performance insights. Partners with sales leadership and ticketing analytics to evaluate pricing, inventory, sales strategy, and revenue opportunities. Communicates findings and recommendations to stakeholders while managing multiple reporting priorities in a fast-paced hybrid environment.

Build and optimize Harrington’s Snowflake data warehouse and enterprise data platform. Design lakehouse architecture, medallion data layers, schemas, pipelines, SQL logic, and integrations with ERP and MDM systems. Support data migration, governance, lineage, access controls, documentation, vendor alignment, and cost and performance optimization. Mentor engineers and communicate technical decisions across technical and non-technical teams.

Supports business operations by researching, validating, categorizing, and maintaining master data. Responsibilities include updating product information, verifying specifications, performing data quality checks, maintaining Excel documentation, and responding to business-user inquiries. The intern collaborates cross-functionally to ensure accurate and consistent data while following established processes.

Build and maintain Databricks gold tables, metric views, and AI/BI dashboards while supporting and migrating existing Power BI reporting. Reverse-engineer DAX measures, define governed business metrics, validate data accuracy, and create reusable migration patterns. Partner with divisional stakeholders and data teams to deliver trusted reporting, document solutions, apply version control and code reviews, and help BI analysts adopt Databricks.

Supports business intelligence and analytics initiatives through stakeholder interviews, requirements gathering, dashboard testing, visual reporting, data governance, documentation, and cross-functional collaboration. The intern helps develop analytic solutions, improve processes, train business users, and present data-driven insights. This is a 12-month, onsite internship requiring enrollment at a university or technical college and availability for variable school-year and summer hours.

Designs, integrates, and manages scalable batch and streaming data pipelines from internal and external sources. Responsibilities include ETL development, data schema and process enhancements, load monitoring, troubleshooting, emerging technology evaluation, privacy compliance coordination, and support for analytics, data science, and search applications. The role collaborates with business, engineering, and compliance teams while using cloud, distributed processing, containerization, and modern data architecture technologies.

Build and maintain Power BI dashboards, data models, DAX measures, and reports. Create Power Automate workflows to reduce manual processes, connect data from ERP and business systems, troubleshoot reporting and automation issues, and ensure data accuracy and access security. Gather requirements from stakeholders, support ERP implementations, document solutions, and coordinate delivery with IT and external vendors.

Maintains and administers enterprise Databricks environments for federal and commercial clients. Responsibilities include data onboarding, legacy-system migration, content development, configuration, troubleshooting, reporting, visualization, pipeline optimization, cluster health monitoring, schema design, lifecycle management, and root cause analysis. The role requires collaboration with customers and technical teams in DevOps and Agile environments, along with Databricks certification, U.S. citizenship, and Top Secret clearance.

Leads customer insights research for CVS Health’s retail pharmacy business. Partners with business teams to define objectives, designs and manages qualitative and quantitative studies, coordinates external research suppliers, analyzes diverse data sources, and synthesizes findings into actionable recommendations. The role also identifies innovative research methodologies, manages project timelines and costs, and applies pharmacy consumer knowledge to support business decisions.

Own enterprise data architecture across operational, analytical, and AI/ML workloads. Define data models, governance frameworks, access controls, quality standards, and compliance practices for healthcare data. Design platforms supporting pipelines, streaming, feature engineering, model training, and inference. Establish observability, reliability, testing, lineage, and retention standards while advising engineering, product, analytics, legal, security, and compliance teams.