Top Data & Analytics Jobs

Builds and analyzes sales, product performance, productivity, budget, forecast, market share, and KPI reports for wholesale and retail channels. The role monitors commercial performance, develops business recommendations, manages BI and POS tools, documents reporting procedures, supports business reviews, and leads performance-related projects. It partners with sales leadership and requires strong analytical, financial, communication, presentation, Excel, and organizational skills.

Develop and maintain data models, semantic layers, dashboards, and Python- and SQL-based reports for claims analytics. Analyze operational performance, investigate root causes, and provide actionable recommendations to leadership. Collaborate with engineering, operations, and other stakeholders to translate source systems into standardized data models and deliver effective analytical solutions. Communicate findings through clear writing and presentations while helping shape a growing data team.

Owns enterprise CRM reporting, Power BI dashboards, pipeline forecasting, ROI and attribution analysis, and executive insights. Integrates Salesforce, Workday, data-platform, and external data while maintaining quality controls, documentation, and business rules. Automates reporting workflows using Power BI, Power Query, DAX, SQL, and Excel. Leads analytics workstreams from requirements through rollout, supports predictive and AI-assisted analysis, and communicates actionable findings to cross-functional stakeholders.

Analyze AI Search data to identify meaningful questions, build recurring reporting, investigate changes in visibility and model behavior, refine measurement methods, and translate findings into product, customer, and prospect recommendations. Partner with Product and Data teams, create customer-ready analyses and presentations, communicate findings to varied audiences, and document methods and limitations. The role requires strong SQL skills, analytical judgment, and the ability to work with complex datasets.

Analyzes healthcare enrollment systems and EDI integrations, gathers and documents requirements, writes SQL queries, validates and reconciles data, supports testing and defect management, and provides application monitoring and issue triage. Level III responsibilities include advanced SQL, automated validation, API and data model analysis, complex specifications, cross-functional leadership, vendor evaluation, and coaching junior analysts.

Oversee the data reporting function, lead and mentor analysts, establish reporting standards, ensure data accuracy and timeliness, translate business needs into dashboards and reports, improve data quality and workflow automation, and present insights to stakeholders and senior management.

Analyzes workforce data to guide hiring, retention, organizational design, and people-program decisions. Builds dashboards, reports, data models, pipelines, and governance practices; ensures HR data integrity; automates reporting; identifies workforce trends and risks; and partners with People, Finance, HRIS, engineering, and business leaders to deliver actionable insights.

Supports institutional effectiveness through data analysis, dashboards, reporting, surveys, accreditation reporting, data governance, metadata management, SharePoint architecture, workflow automation, and responsible AI readiness. The role collects and validates data, standardizes metrics and definitions, improves information management, evaluates AI-enabled solutions, and collaborates with institutional stakeholders to enhance decision-making, compliance, and operational processes.

Supports Global Distribution by monitoring industry and competitor activity, analyzing investment, performance, fee, flow, and market data, and developing competitive positioning insights. Prepares executive and governance reporting, advises senior sales and business stakeholders, contributes to product and pricing strategy, and partners cross-functionally on growth decisions. Improves and automates research and reporting workflows using approved AI tools while maintaining confidentiality, controls, and compliance.

Collects, analyzes, and validates aircraft system data; prepares and publishes monthly CASS reports; monitors mechanical interruptions, service difficulties, and adverse trends; reports qualifying events to the FAA; compiles fleet-level statistics; identifies irregularities; and submits data reports to manufacturers, regulatory agencies, and other entities.