Top Data & Analytics Jobs

Analyze patient cycle times from consultation through treatment start for comparable prostate cancer cases across two first-quarter periods. Review patient charts, record key dates, calculate working-day intervals, compare average cycle times, and provide findings and recommendations. Interns must submit enrollment documentation, academic records, schedules, and a final Microsoft PowerPoint presentation summarizing their work and learning.

Analyze and validate EVV and business data, create dashboards and monthly executive reports, identify trends and compliance risks, and recommend corrective actions. The role maintains reporting systems, improves data quality and workflows, collaborates with operations and stakeholders, supports state and federal EVV compliance, and safeguards sensitive information.

Leads enterprise data engineering and platform operations, defining architecture roadmaps, engineering standards, cloud modernization, DevOps, production support, and reliability practices. Oversees data pipelines, integrations, analytical environments, monitoring, incident management, capacity planning, and strategic technology partners. Builds and develops high-performing teams while enabling secure, scalable data capabilities for reporting, analytics, workflows, and AI.

Develops business intelligence solutions for healthcare quality operations, including gathering requirements, analyzing complex claims and performance data, building Power BI and SSRS reports, interpreting trends, and presenting actionable findings to senior management. The role addresses data quality issues, creates analytical tools, supports quality program metrics, and partners with quality, finance, operations, and business leaders on reporting and process improvement.

Manage and optimize product data in the Enterworks PIM system, including data models, taxonomies, workflows, imports, exports, bulk updates, and syndication. Ensure data quality, governance, accuracy, and completeness across downstream channels. Collaborate with merchandising, marketing, and e-commerce teams; support system integrations, documentation, reporting, training, upgrades, testing, and enhancements.

The Senior Business Intelligence Analyst gathers business requirements, develops and supports reports and dashboards, ensures reporting accuracy, and designs ETL processes using SSIS. The role supports data warehouses, data marts, data modeling, testing, troubleshooting, data quality improvements, and business analytics. It requires collaboration with business units and technical teams to deliver actionable intelligence and improve reporting solutions.

Collects, enters, validates, and maintains property-level ESG and utility data for assigned client portfolios. Coordinates with property managers, utility companies, and vendors; updates ENERGY STAR Portfolio Manager; monitors data quality and timeliness; resolves routine discrepancies; supports onboarding, training preparation, reporting workflows, and property offboarding. The role emphasizes accurate execution of established processes, documentation, communication, and escalation of exceptions.

Supports institutional planning, accreditation, regulatory reporting, and decision-making by collecting, validating, analyzing, and communicating higher education data. Produces recurring and ad hoc reports, dashboards, visualizations, and survey analyses; conducts data-quality checks; documents methodologies; responds to approved data requests; and collaborates with academic and administrative stakeholders to improve reporting accuracy and consistency.

Manages JCB North America’s marketing database and integrations between Salesforce, Oracle Eloqua, and enterprise systems. Develops Apex, Python, and SQL scripts for data aggregation, cleansing, transformation, enrichment, and automation. Maintains Eloqua data structures, segmentation, suppression processes, and database hygiene. Monitors data quality, optimizes performance, supports campaign and reporting needs, troubleshoots integrations, and documents data processes while ensuring customer data integrity, security, and compliance.

Build trusted data models, define metrics, ensure data quality, conduct analyses, and create dashboards supporting Product, Finance, GTM, executives, and customers. Present actionable insights, connect GA4, Google Search Console, and AI Search data to business outcomes, and develop reusable reporting frameworks. The role requires strong SQL, AI-assisted analytics, customer communication, and comfort operating in a fast-growing startup.