Top Hybrid Data & Analytics Jobs

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

Drive data analysis strategy, build models, and lead a team of analysts while collaborating across business units and improving operational efficiencies.

The role involves guiding stakeholders in risk management, advising on data and technology risks, supporting business transformations, and assisting in control testing and remediation.

Lead the Data Science team to innovate credit forecasting models, leveraging machine learning and data infrastructure to improve customer products and experiences.

Lead and grow a casino analytics team to measure, diagnose, and optimize Casino revenue performance. Provide strategic analytics support to Revenue Operations, run deep-dive customer and promotion analyses, build scalable monitoring/alerting frameworks, translate insights into actionable recommendations, and manage an analytics roadmap prioritizing short-term wins and long-term AI-enabled strategies.

The Analyst will conduct market research, support portfolio analysis, assess mortgage credit risk, and assist in reporting and special projects related to MIM's real estate investments.

Create and maintain forecasting tools and datasets to analyze past consumption and predict future sales trends. Partner with Sales, Production, and Marketing to produce monthly forecasts, identify high-risk business, and support demand planning and reporting.

Looking for a Senior Data Analyst to analyze large datasets, develop dashboards, optimize business performance, and mentor juniors. Requires strong SQL, Python, and data visualization skills.

The Senior Revenue Operations Analyst will ensure data quality across systems, integrate third-party data into CRM, define quality metrics, and collaborate cross-functionally to improve data processes.

Lead fraud detection and prevention analytics for travel and expense portfolios. Build and manage fraud rules, detect fraud patterns using SQL/Python/Snowflake, drive investigations, coordinate cross-functional resolution, monitor KPIs/KRIs, and prioritize multiple analytical projects to reduce fraud while preserving customer experience.

The Senior Revenue Operations Analyst will enhance GTM data quality, integrate 3rd party data into CRM, and solve data issues collaboratively with various teams.

The Data Analyst will collaborate with teams to design customized reports, analyze data for insights, and support data onboarding for customer success.

The Senior Business Operations & Strategy Analyst at MongoDB will drive strategic initiatives, analyze business operations, and improve processes while collaborating cross-functionally.

Support sales intelligence by collecting, preparing, and analyzing sales and marketing data; maintain dashboards and data quality; run pipeline and win/loss analyses; translate findings into clear visualizations and reports for stakeholders.