Top Remote Analytics Jobs in Boston, MA

The Sr. Game Data Analyst will lead data initiatives, optimize live games, and provide insights for player engagement and acquisition in mobile gaming.

As a Credit Analytics Analyst, you will drive insights into credit performance, develop forecasting models, and collaborate with cross-functional teams to enhance Upstart's lending strategies.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

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

Design and optimize fraud detection rules, managing libraries and workflows, collaborating with teams for analytics, and providing strategic insights.

As a Manager of Risk Analytics, lead a team focusing on account security, implement risk strategies, analyze data with SQL, and collaborate to enhance security measures.

The People Analytics Specialist will support talent attraction, manage data pipelines, conduct analyses, and influence hiring strategies with data-driven insights.

Lead the Credit Risk & Analytics function, utilizing AI/ML for underwriting, portfolio monitoring, and collections strategy to enhance risk performance.

The Credit Analyst will develop credit risk strategies, manage decision strategies, analyze credit trends, and collaborate with multiple teams to ensure compliance and profitability in credit processes.

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

The Head of Strategy, Analytics, and Optimization will lead analytics efforts in simplifying agricultural lending processes, focusing on risk management, automation, and business growth. Responsibilities include developing models, overseeing teams, and ensuring adherence to regulations.

The Data Scientist II will develop statistical models and ML solutions to enhance workforce planning and optimize resource allocation. Responsibilities include analyzing data, deploying algorithms, and collaborating with cross-functional teams to meet business needs.

The Analyst, Rebate Analytics analyzes pharmacy claims data to identify trends and evaluate rebate performance, providing actionable insights for strategic decisions.

The role involves performing product usage analyses, designing A/B tests, leveraging AI tools for insights, and working cross-functionally to improve business performance metrics.

As an Analytics Developer, you'll analyze complex data using SQL, Python, and Excel, build analytics solutions, and present insights to stakeholders.

The role involves leading pricing strategy and analysis for auto lending, collaborating with cross-functional teams to enhance pricing models and drive profitability.

As a Senior Data Analyst, you'll partner with business stakeholders, conduct data analysis, and write complex SQL queries while collaborating in an Agile environment.

The role involves creating testable hypotheses using data, launching A/B tests, and partnering with analysts to improve game metrics. Responsibilities include presenting findings to non-analysts and using benchmarks for actionable insights.

As a Data & Analytics Analyst, you'll develop data infrastructure, perform complex analyses, provide insights, and ensure data quality across systems.

Design, deliver, and consult on analytics projects in consumer lending, including modeling, portfolio analysis, and marketing analytics with hands-on coding expertise in Python and Spark.

The RevOps Analytics Manager is responsible for data analysis, insights generation, data governance, and supporting sales and marketing strategies through advanced analytics and forecasting.

The Fraud Analytics Lead will design and implement strategies to mitigate fraud risks, leveraging advanced analytics and collaborating with cross-functional partners.