Top Hybrid Data Analysis Jobs

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.

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.

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.

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.

Investigate fraud within financial services, perform data analysis and monitoring, develop mitigation strategies, and engage stakeholders to manage operational risks.

Lead the validation and risk strategies for financial models, assess model quality, and communicate findings while utilizing advanced quantitative methods.

As a Principal Quantitative Analyst, you will develop and enhance modeling frameworks, apply quantitative methods, and collaborate on cloud-based solutions to improve performance in Capital Markets and Analytics.

The Lead Data Analyst will estimate marketing incrementality and improve performance using media mix modeling and predictive modeling. Responsibilities include mentoring other analysts, partnering with teams, and developing predictive models to drive business outcomes.

As a Data Analyst, you will gather, analyze and maintain data quality, create reports and dashboards, and support strategic decision-making for Alliance Analytics.

As a Product Analyst Intern, you'll analyze customer behavior, build datasets and dashboards, and support product and marketing decisions in a startup environment.