Top Data & Analytics Jobs

Provides institutional research and analytical support for distance education and resident academic programs. Designs and distributes surveys, analyzes quantitative and qualitative data, prepares course and program reports, coordinates research with academic leaders, supports review boards, maintains accreditation records, and contributes to annual assessment activities.

The Data and Analytics Manager partners with stakeholders to gather reporting requirements, build Power BI or similar dashboards, manage data quality and governance, and deliver actionable business insights. The role oversees data modeling, SQL queries, ETL/ELT collaboration, documentation, reporting intake, user training, and vendor coordination. It also supports data infrastructure improvements, ensures privacy and security compliance, and may mentor junior analysts.

Build and maintain scalable dbt-based data models and analytics-ready datasets for pharmacy benefit management and care navigation. Translate healthcare workflows into auditable data products, implement data quality testing and reconciliation, optimize warehouse performance, and establish documentation, lineage, governance, CI/CD, and observability practices. Collaborate with technical and business teams to support reporting, financial analysis, self-service BI, and future AI-enabled analytics capabilities.

Develop and administer Tableau dashboards, reports, and data integrations supporting enterprise reporting and Release Train Management. Maintain accurate Tableau views, track corrective actions, optimize system performance, and connect new and existing data sources, including JIRA. Produce integrated delivery schedule graphics for leadership briefings, guide RTM teams, and provide data-driven insights aligned with Agile and SAFe processes.

Lead complex customer analytics engagements, translating industrial business needs into scalable analytics architectures and solutions. Advise customers, drive product adoption, identify high-value use cases, mentor Analytics Engineers, resolve technical escalations, and influence product roadmaps. Apply expertise in industrial process data and sectors such as power, pharmaceuticals, and semiconductors. Collaborate with customers, partners, product teams, and account teams to deliver measurable business outcomes.

Leads enterprise-wide data governance strategy, policies, and operational roadmaps. Establishes data ownership, classification schemas, metadata tagging, retention schedules, business glossaries, and stewardship programs. Partners with executives, functional teams, and compliance leaders to improve data quality, regulatory alignment, and AI governance. Develops maturity metrics, trains data stewards, maps data flows, and embeds governance controls across global operations.

Supports social listening and digital analytics by developing search queries, organizing online conversation data, identifying trends and themes, and translating findings into concise insights, narratives, presentations, and reports. The intern will also learn analytical tools, apply new methodologies, and support internal AI projects while managing deadlines and collaborating effectively.

Supports strategic analytics for earned media, influencer, and digital marketing campaigns. Measures performance against client objectives using social, site, mobile, search, qualitative, and quantitative data. Builds client relationships, presents insights, contributes to new business pitches, creates data-driven narratives, and recommends actions to optimize campaign performance.

Develop and maintain enterprise manufacturing dashboards, KPI scorecards, and executive reports across multiple plants. The role standardizes metrics, analyzes operational performance, consolidates ERP data, validates reporting accuracy, resolves data quality issues, and automates reporting. It partners with plant leadership, Operations, Finance, IT, and Data Stewards to identify trends, benchmark performance, and support data-driven decisions.

Leads GreenSky’s enterprise business intelligence and data engineering strategy, including data modernization, cloud platforms, analytics, governance, reporting, and AI/ML enablement. Builds and scales enterprise data organizations, establishes KPI frameworks and executive reporting, ensures regulatory compliance and data quality, and applies advanced analytics to lending, credit risk, fraud prevention, servicing, customer acquisition, and portfolio performance.