Top Analytics Jobs

The Staff Data Scientist will drive data-informed monetization strategies across subscriptions, advertising, and virtual currencies, collaborating with product and engineering teams and defining success metrics.

The Analyst provides strategic research and analytics to optimize donor strategies for fundraising, ensuring data accuracy and creating comprehensive profiles of prospective donors.

The Applied Data Scientist will manage client engagements, unifying datasets, building models, deriving insights, and collaborating with teams to implement solutions.

The Senior Analyst will analyze operational and member data to inform business strategies, create presentations, and collaborate with cross-functional teams to improve member experiences.

As the Senior Fraud Strategy and Analytics Manager, you will analyze fraud trends, build predictive fraud models, implement prevention rules, and enhance risk profiles while collaborating with cross-functional teams in the financial services sector.

The Data Analytics Intern will assist with analytics tools, data preparation, SQL queries, and cross-functional collaboration to support EV Realty's projects.

The Senior Analyst will provide insights to guide content strategy and marketing for various scripted series by analyzing consumer data, performing research, and collaborating with cross-functional teams.

The Manager will develop analytics and AI tools to answer business strategy questions and support decision-making within the Product Development and Supply team at Bristol Myers Squibb.

Analyze and transform data to produce reports, dashboards, and insights supporting fraud and financial-crime decisions. Maintain databases, data pipelines, data quality, and governance; produce ad-hoc analysis and visualizations; support automation and mentor junior analysts.

The Senior Analyst executes customer decisioning strategies, monitors performance reporting, collaborates with strategy owners on KPIs, and conducts data analysis while adhering to governance standards.

The role involves leading fraud analytics projects, analyzing data, ensuring alignment with goals, and developing strategic relationships for risk mitigation.

Perform complex fraud analytics and modeling to detect and mitigate account takeover and non-monetary fraud. Use SQL/SAS, Excel, Tableau and Hadoop tools to derive insights, create and maintain detection rules, lead performance reporting, investigate major losses, implement mitigation controls, and collaborate with cross-functional stakeholders to reduce fraud loss and improve customer experience.

Analyze large datasets and build/validate predictive models to identify and monitor portfolio risk. Produce recurring and ad-hoc reporting and management presentations, troubleshoot data issues, collaborate with IT and business partners, and support decision-making through actionable analytics.

The Staff Data Scientist will develop monetization models, establish KPIs, forecast revenue, conduct A/B testing, and communicate test outcomes effectively.

The role involves supporting data-driven projects in the life sciences sector, focusing on project execution, data analysis, and collaboration with teams to deliver insights.

Support data-driven projects in pharmaceuticals, leading project teams, and providing insights through data analysis and collaboration with stakeholders.

The role involves coordinating meetings, managing action items, conducting advanced data analytics, and briefing senior leadership with insights from complex datasets.

The Senior Associate will lead data analytics projects, organize data into coherent storylines, and deliver actionable insights for clients. Responsibilities include utilizing Excel, SQL, and visualization tools to communicate findings effectively while managing projects from inception to completion.

Support the Data & Analytics team by developing search queries, gathering and organizing social/digital data, detecting trends in large datasets, and turning findings into client-ready insights and deliverables. Learn analytical tools and assist internal AI projects.

Perform quantitative analysis and model development support within an economic capital team. Clean and explore large datasets, run basic diagnostics, build visualizations, and assist in validating predictive and ML models using Python/R/SAS and spreadsheet tools. Help integrate AI-generated code and agentic tools under manager supervision.

Embed with a core business unit to define problems, build metrics, run analyses and experiments, produce insights, and drive decision-making end-to-end across growth, product, AI, or partnerships.

The role involves generating insights from large datasets, leading behavioral experiments, and managing collaborations to translate research into practice for health promotion.

The Analytics Manager II at BlueLabs leads data analysis, report generation, and client presentations. This role involves mentoring analysts, managing projects, and utilizing statistical tools and software to derive insights from large datasets.

Analyze policy filings, support ePublishing updates, assist with compliance audits, and collaborate with team members for consistent language implementation.

This role involves conducting advanced data analysis to drive strategic decisions, defining metrics, collaborating with teams, and improving performance through insights.