Top Data & Analytics Jobs

Analyze large IT datasets to uncover trends, prepare and clean data for analysis, build BI visualizations and reports, translate insights into recommendations, and advise stakeholders. Collaborate cross-functionally to scope projects, communicate findings to technical and non-technical audiences, and drive data-driven decision making.

Leads the enterprise data function, including strategy, platform modernization, analytics, data science, governance, architecture, and talent development. Oversees migration from Crystal Reports and Oracle to Databricks and Power BI, builds data connectivity and quality practices, establishes a data science function, develops internal expertise, and advises senior leadership on data-driven decisions.

Designs and maintains scalable data architectures, ETL workflows, batch and real-time pipelines, and SQL/NoSQL storage solutions supporting intelligence operations. Ensures data quality, governance, security, compliance, and performance across structured and unstructured intelligence datasets. Documents schemas and data lineage, collaborates with analysts and data scientists, and participates in technical and mission-planning forums.

Provides customized healthcare analytics using procedural, supply utilization, cost, outcomes, and performance data. Conducts advanced comparative analyses, identifies optimization opportunities, translates findings into recommendations, presents insights to clients and leaders, facilitates requirements meetings, ensures accurate reporting, and contributes to mentoring and best practices.

Owns validated datasets, extracts, dashboards, and reporting products supporting four CMS Medicare collections. Builds automated, schema-versioned outputs; defines data contracts; validates parity with legacy extracts; develops QuickSight dashboards and exception analytics; writes complex SQL; documents data lineage and validation logic; applies privacy, access, and Section 508 controls. The role requires production BI experience, numerical accuracy, and support for federal data-governance and security requirements.

Senior technical and business leader who defines analytics vision and architecture, builds scalable cloud data platforms and pipelines, drives AI/ML and self-service analytics, ensures governance and HIPAA compliance, and leads a multidisciplinary analytics team to deliver executive dashboards and data products that improve physician and revenue-cycle performance.

Leads multiple quantitative market research studies from design through delivery, managing timelines, budgets, fieldwork, data quality, and deliverables. Provides strategic insights and actionable recommendations to clients, serves as a trusted advisor, and oversees project execution. The role also includes mentoring research staff, allocating resources, managing teams, and ensuring high-quality outcomes across national and international studies.

Supports New York City commercial real estate research through database maintenance, market statistics, market analysis, and report production. Responsibilities include managing lease and tenant comparables, identifying market trends, creating and editing reports and presentations, preparing customized research for sales professionals and clients, and capturing market information from internal meetings. The role requires strong analytical writing, data entry, database management, Excel and PowerPoint skills, and familiarity with commercial real estate data platforms.

Own recurring digital commerce performance reporting and analyze KPIs, trends, inventory, assortment, promotions, brands, categories, and site performance. Translate data into actionable recommendations for growth planning, forecasting, promotional readiness, and performance management. Prepare leadership updates and collaborate with merchandising, planning, commercialization, digital, and leadership teams to improve reporting and business decisions.

Leads enterprise analytics strategy, data integration, governance, reporting, dashboards, forecasting, and advanced business analysis. Manages analysts and partners with Sales, Pricing, Finance, Product Management, Operations, and executive leadership to translate complex data into actionable recommendations. Oversees Power BI dashboards, KPI frameworks, data quality, predictive modeling, and reporting automation to improve growth, profitability, pricing, and operational performance.