Top Remote Data & Analytics Jobs

As a Quantitative Researcher, apply economic and statistical models to large-scale data, collaborating to solve quantitative challenges across industries.

Lead people-analytics strategy for Talent Acquisition and Talent Development. Drive end-to-end analysis of complex workforce problems, deliver evidence-based recommendations to senior leaders, ensure data governance and quality, coach junior analysts, build metrics frameworks, and conduct benchmarking and external research to inform workforce strategy.

Lead analytics planning and delivery across client engagements, translate data into business outcomes, drive advanced measurement (attribution, incrementality, experimentation), integrate AI and automation into workflows, mentor and grow analytics teams, and partner cross-functionally to inform media strategy and optimize performance.

Lead measurement strategy for a book of clients, designing statistical models (MMM), experiments (MMT), and customer analyses. Use R, Python, SQL and ETL tools to extract insights, present advanced methodologies to stakeholders, provide strategic recommendations tied to business goals, mentor measurement analysts, drive process efficiencies, and leverage proprietary Nova tools and AI to optimize deliverables.

Perform stakeholder interviews and exploratory analysis to surface insights; build dashboards and reports; profile data and assess quality; leverage cloud data platforms; collaborate with engineers and clients; facilitate agile workshops and explore AI/GenAI to accelerate reporting and decision intelligence.

Lead strategic analysis, scenario modeling, and executive reporting for Customer Office (Success, Renewals, Support, Services). Build financial and operational models, develop analytical frameworks and BI dashboards, manage planning and forecasting, drive performance management and data governance, and partner cross-functionally to inform executive decisions and operational improvements.

Build and maintain trusted Finance data products, including data models, transformations, pipelines, semantic models, dashboards, and analytical tools. Translate FP&A requirements into scalable solutions, validate and reconcile outputs, resolve data quality issues, and document lineage and business rules. Use SQL and Python for automation and advanced analytics supporting forecasting, revenue, customer, portfolio, and operational analysis. Partner with shared data teams and stakeholders while enabling self-service reporting and executive decision support.

Develops reporting, analytical tools, and data solutions that support strategic decisions, revenue growth, and operational efficiency. Partners with Customer, Marketing, and Digital teams to analyze customer behavior, identify trends, validate data, and translate complex findings into actionable recommendations for executives and business leaders. Leads cross-functional analytics initiatives, improves processes and methodologies, supports user adoption, and mentors junior analysts.

Build dashboards and reports tracking enrollment, attendance, engagement, and attrition. Develop predictive models to identify at-risk students, analyze withdrawal causes, monitor early-warning indicators, partner with cross-functional teams to design retention interventions, and present insights to leadership while supporting data pipeline accuracy.

Partner with product teams to build data products, dashboards, and self-service AI/agent tooling. Own product metrics, run exploratory and ad-hoc analyses, improve data quality and governance, and translate analysis into clear recommendations to drive product OKRs.