Top Data & Analytics Jobs

The Senior Pricing Specialist monitors pricing systems, analyzes competitor pricing, audits data, and improves SOPs to maintain competitive pricing.

The role involves developing statistical models, leveraging data analytics, designing custom analyses, communicating results, and client relationship management.

Develop advanced statistical models, leverage data analytics for decision-making, design custom analyses, and provide project updates to clients.

Perform quantitative analyses and build advanced statistical models using tools like R, SAS, SQL, and Excel. Design custom analyses, synthesize findings for clients, support project management, develop client relationships, mentor junior staff, and contribute to Value & Access strategy for life sciences clients.

As a Senior Data Scientist in Product Analytics, you will analyze data to guide product decisions, support product managers, and improve financial stability for users.

Lead subscription analytics for SoFi Plus: define engagement/retention metrics, run deep-dive analyses and experiments, build scalable data pipelines and ML models, create executive dashboards, and influence product strategy to grow subscription value.

The role involves assessing fraud program effectiveness, compliance with regulations, and providing strategic insights for risk management within the financial services industry.

Lead and grow a data science team to optimize lending funnels, run experimentation and statistical analyses, build reports/dashboards and data marts, partner with Product/Engineering/Finance, and translate insights to senior leadership to inform product decisions.

As a PhD intern, you will develop and test trading strategies, perform statistical analysis, and collaborate with senior researchers.

Conduct research, statistical analyses, and develop automated trading strategies using large data sets and sophisticated statistical techniques.

Conduct rigorous research using statistics and machine learning to extract patterns from datasets. Implement algorithms, back-test models, and document findings.

Provide functional support for JD Edwards EnterpriseOne applications, focusing on inventory and distribution while enhancing workflows and user training.

As a Quantitative Research Analyst Intern, you will develop trading models, implement statistical techniques, and innovate using data analysis in finance.

Global Quantitative Researchers at Citadel leverage advanced statistical and quantitative techniques to drive investment strategies and optimize portfolios.

Develop and improve mathematical models for trading strategies, conduct research and statistical analysis in a fast-paced team environment.

Analyze customer and merchandising data, build data pipelines and reports, write clean queries and code, conduct statistical analyses to identify trends and opportunities, and validate key metrics to inform business decisions.

Lead development of Navan's internal economic models, build probabilistic forecasts, run causal inference experiments (A/B, quasi-experimental), create pricing and retention frameworks, deploy production-quality Python models into AWS/Snowflake, and advise executives on economic strategy and risk.

Lead development of econometric, causal, and probabilistic forecasting models to guide Finance, Treasury, Sales, and Pricing. Design experiments and quasi-experimental analyses to identify business levers. Deploy production-quality Python models into AWS/Snowflake infrastructure and translate findings into strategic recommendations for executive and go-to-market teams.

The Marketing Analyst will explore data to guide business decisions, analyze campaign performance, build dashboards, and support marketing operations with actionable insights.

As an Analyst I on the Casino Product Analytics team, you'll analyze data to drive product strategy, evaluate performance, and guide product development through insights and recommendations.