Top Data & Analytics Jobs

Maintains and enhances reporting, dashboards, scorecards, KPIs, databases, and business intelligence tools for Customer Operations. Analyzes billing revenue, operational performance, financial information, regulatory metrics, and business trends. Supports forecasting, budgeting, strategic planning, data validation, leadership presentations, board reporting, and issue resolution in collaboration with business and IT stakeholders.

Conduct advanced workforce analysis for the Administrative Office of the U.S. Courts. Develop statistically defensible staffing methodologies, workforce baselines, scalable staffing models, staffing equations, and supporting tools. Apply statistical analysis, operations research, facility segmentation, scenario and sensitivity testing, and qualitative validation. Collaborate with security and data analytics subject matter experts to document assumptions, limitations, operational factors, and model performance.

Research global logistics trends, competitor activity, industry developments, and macroeconomic factors. Analyze qualitative and quantitative data to identify opportunities and risks, then translate findings into strategic recommendations and transformation initiatives. Create reports, presentations, dashboards, and business cases for senior leadership while tracking the impact of implemented strategies.

Manage and enhance Technolutions Slate functionality for University Advancement, including portals, dashboards, queries, reports, forms, workflows, and email templates. Build segmented analytics and KPI dashboards, troubleshoot reporting issues, support data-driven decision-making, maintain data governance, and provide user training and technical support. The role requires collaboration with campus stakeholders, confidentiality, independent judgment, and ongoing knowledge of Slate product updates.

Lead data analysis for product and customer decision-making by defining metrics, measuring adoption, engagement, retention, and customer health, and translating complex data into actionable insights. Partner with product, engineering, customer success, and sales teams; automate and improve data processes; support product strategy and customer reviews; strengthen data governance; and mentor analysts.

Develops and maintains insurance pricing and predictive models, analyzes premiums, losses, claims, and exposure data, evaluates profitability and emerging risks, supports rate filings and actuarial analyses, and delivers recommendations to leadership. The role also ensures data integrity, prepares financial reporting, automates workflows, and collaborates with product, actuarial, and business teams to improve pricing strategies and operational efficiency.

Provide timely, accurate royalty and content analytics and financial reporting to support business decisions. Analyze large datasets to identify trends, anomalies, and allocation impacts; support monthly royalty reconciliation; design and automate reporting and data structures; respond to licensing and royalty inquiries; prepare analytical materials for commercial and content planning; and drive process improvements to ensure reporting integrity and operational effectiveness.

Build, troubleshoot, and enhance financial reports and data solutions across Workday, Power BI, Adaptive Planning, and other systems. Analyze, cleanse, transform, and investigate data using SQL, Excel, Alteryx, Power Apps, and internal applications. Intake reporting requests, identify appropriate data sources, fulfill ad hoc analyses, support helpdesk reporting, review business processes, and communicate cross-functionally to deliver effective solutions.

Supports New York State economic research through data collection, validation, analysis, and trend tracking. Develops regional and industry datasets, dashboards, economic briefings, charts, PowerPoint presentations, and public-facing materials for executive and general audiences. Contributes to economic development policy analysis, manages time-sensitive requests, collaborates with internal and external stakeholders, and undertakes special projects while ensuring accurate, reliable, and clearly communicated findings.

Supports IT delivery teams by eliciting and documenting business and functional requirements, creating user stories and acceptance criteria, modeling processes and data flows, refining Agile backlogs, supporting sprint planning and UAT, validating delivered features, maintaining traceability, and using AI-assisted tools for documentation and analysis.