Top Remote Analytics Jobs

As a Senior Analyst, you'll analyze customer behavior, evaluate promotional strategies, and provide data-driven insights to influence key business decisions at DraftKings.

Lead pricing analytics for GoodRx Companion subscription: build forecasting and elasticity models, optimize pricing to drive signups and unit economics, create dashboards and reports, analyze fill patterns, and deliver actionable insights to cross-functional stakeholders to improve program performance.

Lead and scale a casino analytics team to drive data-informed strategy, experimentation, and reporting. Partner with product, data science, and operations to deliver executive insights, build analytical frameworks, and develop high-performing analysts to unlock growth and operational efficiency.

Lead and grow a marketplace growth analytics team to drive product and marketplace performance. Define success metrics, own experimentation strategy, deliver rigorous analyses (forecasting, causal inference, predictive modeling), partner with Product/Engineering/Finance, and translate insights into prioritized product decisions and reliable reporting. Balance strategic leadership with hands-on analytics and embed measurement into the product development lifecycle.

Lead pricing analytics for merchant/platform deals and international market expansion. Define pricing strategy, run economic analyses, design and test pricing constructs, and collaborate with product, partnerships, credit, finance, capital markets, and engineering to optimize portfolio performance.

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

The Director of Data Analytics will lead quantitative analysis for Medicare and Medicaid models, mentor staff, and leverage AI in healthcare data projects.

Partner with cross-functional teams to drive data-driven growth: design and analyze A/B tests, leverage ML models for in-depth analyses, define and test acquisition and partnership levers, and automate processes to improve operational efficiency and scalability.

Partner with cross-functional teams to drive data-driven growth: design and analyze A/B tests, define acquisition and partnership levers, leverage machine learning for insights, and automate processes to improve operational efficiency and scale customer acquisition.

Lead analytical efforts in Real World Data research, develop specifications and methodologies, manage projects, and communicate findings to stakeholders.

The Senior Data Scientist will build frameworks for data-driven decision making, develop predictive models, ensure data quality, and enhance customer experiences through analytics and operational insights.

Owner of disbursement efficiency: analyze payment rails and routing KPIs, investigate transaction failures, build dashboards and dbt models, partner with Disbursements, Operations, and Product to improve success rates, cost, speed, and user experience.

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

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.

The Data Analyst will enhance remittance operations by analyzing transaction data, improving disbursement processes, and designing performance metrics dashboards while ensuring user satisfaction and operational efficiency.

The Disbursement Analyst will optimize transaction processes by analyzing data, maintaining performance dashboards, driving defect reduction, and communicating insights to stakeholders, focusing on improving user experiences in remittances.

The Disbursement Analyst ensures efficient money transfer processes at Felix, analyzing data to optimize disbursement metrics and resolve routing issues while boosting user experience for Latino immigrants.

Lead end-to-end data analysis and decision science for P&C underwriting. Acquire, integrate, and analyze complex and emerging datasets, build statistical and prescriptive models, produce visualizations and clear recommendations for business leaders, and support operationalizing strategies to improve risk selection and profitability.

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

Perform financial and data/text mining analysis on large, disparate datasets using advanced SQL and Excel. Produce quantitative and qualitative reports, identify trends and outliers, collaborate with stakeholders to define requirements, develop standard reports/processes, and recommend process improvements related to membership, revenue, and commissions.

Perform senior-level analysis on complex healthcare and business datasets (claims, utilization, financials). Design and maintain reports, dashboards, and ETL processes with SQL/SSRS/Excel; ensure data quality; build forecasts and models; lead projects; present insights to stakeholders; support audits and regulatory requests.

Perform data extraction, transformation, validation and visualization to support consumer and commercial analytics. Create and track business metrics, execute strategic analytics projects, deliver accurate results with documentation following audit procedures, and communicate findings with recommendations to stakeholders.

Manage client risk and maximize margins on Swish products through data-driven, +EV trading decisions. Maintain depth chart accuracy, react to prematch and in-play developments, research verified news, and analyze betting trends to produce quantifiable trading actions. Work flexible hours including nights and weekends.

Lead end-to-end research and production pipelines for systematic trading strategies. Conduct alpha research using statistical and ML techniques on high-frequency tick and order-book data, build Monte Carlo simulations and real-time risk monitoring, design position-sizing and stress-testing frameworks, mentor junior researchers, and collaborate with trading and infrastructure teams to deploy production-grade models and risk controls.

Own growth and player behavior analytics across sportsbook, casino, and poker. Partner with Revenue Ops, Marketing, Product, and VIP to run retention, bonus optimization, segmentation, A/B testing, and predictive modeling using SQL, Snowflake, ML/AI tooling, and Python. Turn analysis into actionable recommendations and measurement frameworks.