Top Data & Analytics Jobs

Teaches undergraduate and graduate Business Statistics courses in face-to-face and online formats; develops and updates curricula, supports student success through mentoring and advising, and contributes to departmental, school, and university service. Candidates should demonstrate teaching potential or excellence in business statistics, practical experience in applied statistics or business analytics, and commitment to service.

Analyzes and documents database requirements for ship maintenance systems, manages and optimizes databases, develops metrics, dashboards, reports, and custom queries, and supports data integration, quality, security, and analytics for NAVSEA decision-making.

Owns the Voice of the Customer program by managing Qualtrics survey tickets, categorizing feedback, investigating root causes, and coordinating corrective actions across departments. Analyzes NPS, CSAT, and open-text data to identify trends and prepares reports and dashboards for stakeholders. The role also follows up with customers, improves VOC workflows, and communicates insights that drive customer experience and operational improvements.

Conduct research, analyze complex business data, develop reports, document processes, present findings, and recommend improvements for customer projects. The role gathers stakeholder and survey information, evaluates business processes, anticipates requirements, and supports new solutions. It requires strong analytical, documentation, communication, organizational, presentation, and troubleshooting skills, along with Microsoft Office and SharePoint proficiency.

The Growth Engineer will design and optimize GTM systems to enhance revenue efficiency through data analysis, automation, and experimentation, collaborating with teams to convert ambiguous problems into structured processes.

Designs and maintains enterprise reporting, dashboards, semantic models, and analytics solutions using Snowflake, Power BI, and SQL. Translates business requirements into scalable data products, performs complex analysis, and communicates insights to technical and non-technical stakeholders. Supports data governance, quality, metadata, automation, testing, deployment, and production support. Promotes data literacy, mentors peers, evaluates emerging technologies, and contributes as an analytics subject matter expert on enterprise projects.

Manages Stars data and analytics operations, including projections, data management, vendor performance, IT collaboration, and reporting. Leads departmental planning, staff development, budgeting, workload balancing, continuous improvement, special projects, and complex problem resolution. Supervises professional and non-professional employees while ensuring effective workflows, communication, and delivery of business objectives. Applies healthcare data expertise, analytical skills, and knowledge of HEDIS, CAHPS, HOS, Clinical Rx, and Medicare Advantage Stars programs.

Collaborates with implementation and development teams to gather, cleanse, organize, and map financial data. Analyzes patterns and business insights, builds reports and visualizations, supports financial database and system development, and participates in change and release management.

Leads analytics strategy, reporting, and data product delivery while managing an analytics team and portfolio. Designs scalable solutions, performs complex analysis, validates data, resolves issues, and provides executive reporting. Establishes analytics standards, roadmaps, prioritization, and operating processes; partners across operations, clinical, finance, compliance, and technology. The role improves insight quality and speed, reduces manual work, strengthens data trust, and supports business decision-making.

Own end-to-end analytics for a designated business area, including data pipeline development, SQL analysis in AWS Redshift, Tableau dashboards, automated reporting, data quality, and stakeholder communication. Translate complex business questions into actionable insights, develop subject-matter expertise, identify data gaps, and independently drive solutions while partnering with revenue, product, operations, engineering, and BaaS stakeholders.