Top Data & Analytics Jobs

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

Deployment Strategists at Northslope Technologies solve business challenges using data-driven solutions, collaborating with clients to build and implement effective operational workflows.

The Senior Data Analyst will partner with clinics to analyze financial performance and operational efficiency, design reports, and communicate insights effectively.

The Analytics Manager will build and manage analytics practices, handle data engineering, reporting, and collaborate with stakeholders on metrics and insights.

The Category Data Analyst supports sourcing activities, supplier relationships, and cost optimization through data analysis, market intelligence, and reporting, enabling strategic category management.

The Senior Manager, Revenue Strategy will drive growth for the US SME Sales segment by implementing strategic plans, coordinating product launches, managing budgets, and collaborating with various teams to enhance sales efficiency and customer onboarding.

Lead the strategy and management of growth systems at Airwallex, focusing on driving revenue growth and developing data-driven solutions through experiments and technology.

As a Data Scientist, you'll provide insights to executives, use causal inference and forecasting methods, and build data products to impact business decisions.

The data analyst will enhance player engagement at Zynga, presenting insights, improving player experience, and supporting VIP outreach through data analysis.

This role oversees the design and evolution of finance reporting solutions using Power BI, collaborating with global finance teams to create scalable analytics and insights.

The Marketing Data Analyst will analyze digital marketing performance, automate reports, create dashboards, and interpret data from platforms like Google Analytics.

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

Analyze complex datasets, build predictive models, and inform business decisions through collaboration and data visualization efforts. Present insights to stakeholders.

Conduct research and develop automated trading strategies using advanced statistical techniques and programming skills. Collaborate in a fast-paced team to innovate and implement quantitative models.