Top Hybrid Data Analysis Jobs

Intern will design and execute quantitative analyses, build reporting tools, conduct revenue analyses, and learn about the ad tech industry while collaborating cross-functionally.

Lead and build a marketing analytics function to connect marketing activity to revenue. Design attribution and unified measurement frameworks, quantify pipeline contribution, optimize channel mix and ABM, build forecasting and predictive models, ensure clean data infrastructure, and hire/manage a small analytics team. Partner with RevOps, Sales, and marketing teams to drive data-driven budget and planning decisions.

The Sr. People Scientist will evaluate ServiceNow's learning ecosystem, applying research methods and analytics to drive program success and inform business decisions.

The role involves analyzing business processes, collaborating on financial planning, and creating advanced analytics solutions, focusing on strategic decision-making using data.

The Retail Analyst at UL Solutions utilizes various systems to analyze data, ensures product compliance, audits databases, and provides customer service.

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.

As a Graduate Quant Performance Engineer, you'll perform quantitative research, design strategies, develop AI algorithms, and collaborate with traders and engineers to enhance trading performance.

As a Senior Data Scientist, you will lead data initiatives supporting game development, optimize player engagement, and present insights to strategic partners.

Lead product-focused analytics to drive consumer and seller experience: perform deep statistical analyses, design and run A/B and multi-armed bandit experiments, build scalable data pipelines and dashboards, partner with cross-functional teams, and present insights to executive leadership.

Lead and grow a marketplace growth analytics team to drive product and marketplace performance. Define success metrics, own experimentation strategy, deliver rigorous analyses (forecasting, causal inference, predictive modeling), partner with Product/Engineering/Finance, and translate insights into prioritized product decisions and reliable reporting. Balance strategic leadership with hands-on analytics and embed measurement into the product development lifecycle.