Top Remote Analytics Jobs

The Lead Analyst, Analytics will develop advanced analytical models using machine learning, assist in the design of AI solutions, and communicate insights to cross-functional teams.

The Lead Analyst, Analytics will develop and maintain analytical models, apply machine learning, and perform data analysis to enhance decision-making within the retail/CPG domain.

The Principal Analyst - Growth will drive the growth strategy for Marvel Snap by optimizing user acquisition through data analysis, predictive modeling, and collaboration with marketing and data teams.

The Fraud Analytics Specialist analyzes fraud incidents, enhances fraud controls, collaborates across teams, monitors threats, and develops dashboards for fraud detection.

Lead a team of data analysts, ensuring accurate reporting, data integration, and analytics presentations while collaborating with agency partners.

The role involves owning data science pipelines, delivering client-facing features, driving cross-functional collaboration, and leveraging AI tools to enhance workflows, ultimately transforming retail data into actionable insights.

The role involves analyzing product telemetry data and integrating it with business application data to support decision-making. Responsibilities include data modeling, SQL query optimization, ensuring data quality, and collaborating with stakeholders to communicate insights effectively.

The Data Scientist will enhance statistical models for forecasting, analyze datasets for operational planning, and communicate insights to stakeholders.

The Data Analyst Intern will analyze marketing campaign data, validate audiences, support reporting, and deliver actionable insights.

As a Staff, Advanced Analytics, New Business, you'll analyze data for new business extensions, collaborate with teams, define metrics, and conduct A/B tests to drive strategic decisions.

As a Data Analyst I, you will analyze data, design analytics products, support model building, and collaborate with teams to improve program efficiency.

Data Scientists at BlueLabs build predictive models, collaborate on analytics products, and tackle complex data challenges while ensuring high data quality.

The Senior Analyst will support fundraising data-driven decisions, develop KPIs, analyze campaigns, and collaborate on revenue forecasting through data modeling, analysis, and reporting.

The Data Analyst will perform data analysis and management focusing on compliance and regulatory reporting, automating data solutions, and delivering actionable insights through dashboards.

The Risk Analytics Senior Manager analyzes business problems, tests hypotheses with data, and communicates insights to senior management, focusing on credit risk policies.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights. Manage people, partner with product and engineering, improve measurement and data products, and ensure rigorous large-scale analysis to inform product decisions.

Lead a Product Analytics data science team to deliver timely, accurate insights for product decisions. Manage ~7 data scientists, mentor teammates, partner with product and engineering, develop experimentation and measurement best practices, and build accessible data products and reports.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experiments; support product teams, build accessible data products, mentor staff, and improve measurement and reporting practices.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics: guide experimentation, partner with product and engineering, build accessible data products, mentor staff, and improve measurement and reporting practices to inform product decisions.

Lead end-to-end measurement, experimentation, and optimization of engagement programs. Design A/B and multivariate tests, analyze funnels and cohorts, own reporting and dashboards, validate data pipelines, and translate insights into strategic recommendations for clients and executives.

Lead the Retention Analytics team by providing insights into subscriber journeys, data analysis for retention strategies, and managing a team of analysts.

Partner with cross-functional teams to analyze large healthcare datasets, build models and dashboards, and surface insights to reduce medical waste. Scope, run, and present analyses, monitor performance metrics, and support initiatives to improve financial and utilization outcomes.