Top Data & Analytics Jobs

Supports business development and strategy through competitive research, market comparisons, business intelligence, and performance reporting. Analyzes gaming, tourism, hotel, and revenue data to evaluate markets, expansions, property opportunities, and competition. Maintains industry databases, prepares corporate and board reporting materials, and uses generative AI, automation, and analytical tools to improve research and workflow efficiency.

Generates and analyzes contact center workforce reports, identifies trends and anomalies, and presents insights to internal and external stakeholders. Manages real-time workforce scheduling for phone and non-phone work, supporting service-level and abandonment goals. Maintains data quality, privacy, compliance, and reporting documentation; enhances analytics tools and metrics; troubleshoots workflow issues; and supports software training and operations teams.

Owns Care.com's Voice of the Customer program, analyzing large-scale survey, review, account-management, and contact-center feedback. Leads a VOC Insights Analyst and translates quantitative and qualitative findings into actionable recommendations for Product, Design, Operations, and other stakeholders. Oversees NPS, CSAT, and customer-effort measurement frameworks, survey methodology, taxonomy, reporting, and program expansion. Uses AI and text analytics to identify themes and trends, influence roadmaps, and improve member experiences.

Leads enterprise reporting, data modeling, governance, reconciliation, and dashboard development across wealth management systems. Ensures data integrity and standardized KPI reporting while analyzing financial and operational trends. Partners with business, technology, operations, finance, and senior leadership to deliver actionable insights, improve reporting processes, support system transformations, and drive adoption of consistent reporting practices.

Leads enterprise data modeling, governance, reconciliation, and reporting across wealth management systems. Develops dashboards and KPI frameworks, ensures data integrity, analyzes financial and operational trends, and delivers executive insights. Partners with business, technology, operations, and finance teams to standardize reporting, support system transformations, improve automation, and drive data-informed decisions.

Organise and curate large amounts of raw material: extract key points from transcripts, collate and maintain clean spreadsheets, tag and categorise links and documents, and create findable information structures following or suggesting systems.

Leads Lennar’s third-party data analytics function and enterprise data strategy. Responsibilities include setting priorities, improving data infrastructure, overseeing data engineering and analytics practices, ensuring governance and security compliance, and partnering with senior leadership. The role designs scalable data architectures, integrates multiple data sources, develops dashboards and reporting solutions, applies advanced analytics and AI, and leads data projects and teams while mentoring staff and driving organizational data initiatives.

Performs complex data analysis for field operations and call centers to improve targeting, resource allocation, and ROI. Develops and validates reports, dashboards, and data models using Excel, SQL, and Power Query. Identifies trends and issues, evaluates analytical methods, and recommends practical business solutions. Supports performance measurement across operations, training, product launches, and related business functions.

Develop and maintain enterprise geospatial applications, web services, dashboards, geoprocessing tools, and automation using Python and Esri technologies. Integrate and administer geospatial systems, troubleshoot GIS applications, manage data gateways, and migrate legacy applications to AWS Cloud One. The role also requires ArcGIS administration, database experience, spatial data standards knowledge, technical communication, and support for Air Force GeoBase initiatives using Agile practices.

Designs and builds lakehouse data models, pipelines, data marts, semantic layers, and digital-twin integrations for power plant assets. Combines telemetry, financial, operational, maintenance, and reliability data using Azure and Databricks technologies. Develops visualizations and supports web-product delivery while collaborating with product managers, UX designers, software engineers, analysts, plant staff, and executives.