Top Remote Data & Analytics Jobs

Analyze product telemetry, user signals, performance, behavior, feature adoption, and product metrics. Develop recurring reports, dashboards, and visualizations, investigate issues and trends, and provide insights supporting product initiatives and rapid iteration. Collaborate with Product Managers, Applied Scientists, Engineers, and stakeholders across China and the United States.

Leads enterprise Business Intelligence strategy, architecture, governance, security, and self-service analytics adoption. Architects solutions across Power BI, Tableau, SAP BusinessObjects, and Databricks; establishes semantic models, data standards, DevOps, CI/CD, and reporting performance practices. Partners with executives and technical teams to modernize analytics platforms, reduce manual reporting, and enable AI-ready decision-making. Mentors BI professionals and drives enterprise data literacy and analytics transformation.

Collects, enters, validates, and maintains property-level ESG and utility data for assigned client portfolios. Coordinates with property managers, utility companies, and vendors; updates ENERGY STAR Portfolio Manager; monitors data quality and timeliness; resolves routine discrepancies; supports onboarding, training preparation, reporting workflows, and property offboarding. The role emphasizes accurate execution of established processes, documentation, communication, and escalation of exceptions.

Analyze market and live data to set dynamic ticket prices using Uptick, build strategic pricing recommendations, communicate with clients about strategy and performance, and collaborate with BI and engineering to improve product performance.

Analyze healthcare operations data to identify bottlenecks, model advocate capacity and supply-demand, build scalable Hex dashboards, refine SQL and dbt data transformations, and translate complex findings into operational recommendations. The role partners with Operations, Engineering, Product, Marketing, and Finance to improve workflows, reporting, resource allocation, and business outcomes across the patient and advocate journey.

Leads LTK’s Data Engineering team, owning technical direction, architecture, pipelines, data products, governance, quality, reliability, and platform modernization. Manages and develops engineers, drives roadmaps and complex initiatives, partners with cross-functional stakeholders, and balances scalability, security, performance, cost, and business priorities. Establishes engineering standards, improves operational practices, manages risks and dependencies, and builds trusted, reusable data capabilities supporting analytics, reporting, products, and AI use cases.

Support Items Master Data Management by collecting, cleansing, and analyzing supply chain product, contract, and pricing data. Build SQL-based reports and dashboards, ensure data quality and governance, support system implementations and migrations, and collaborate cross-functionally to drive standardization and operational improvements.

Deliver strategic reporting and insights to executives and the Board; develop and track KPIs; build dashboards and visuals; perform ad hoc and project-based analyses; support forecasting, financial modeling, and data stewardship across the organization.

Performs data mapping, transformation, validation, and quality assurance across higher education SIS, LMS, and ed-tech schemas. Builds unified data models, writes data dictionaries and mapping specifications, prioritizes fields, tracks data lineage, and applies transformation logic. Collaborates with internal and external stakeholders to ensure integrated data meets operational needs. Uses SQL, Python, dbt, and Great Expectations while managing project timelines and deliverables.

Leads actuarial financial data systems and marts, developing data solutions, extracts, reports, analyses, automations, validations, and executive reporting support. Manages data mart maintenance, audits, business requirements, technical specifications, user acceptance testing, and system implementations. Provides technical leadership, coordinates vendors and departments, trains junior staff, and advises project teams on data architecture, business rules, configuration, and financial data quality.