Top Hybrid Data Analysis Jobs

The Associate will support the Client Portfolio Management team by analyzing portfolios, tracking deal opportunities, enhancing reporting, and contributing to presentations. Candidates should have analytical skills and a proactive attitude.

Drive profitable eCommerce growth by monitoring MAP and reseller compliance, enforcing policies, analyzing pricing and promotions, building dashboards and predictive models, and partnering with Legal, Marketing, Sales, and Finance to inform pricing and go-to-market strategies.

The Senior Data Analyst will enhance marketing measurement programs, conduct in-depth analyses, develop data models, and mentor peers, focusing on actionable insights.

The Senior Analyst will develop ownership models, understand customer needs, collaborate with engineering teams, and represent GM at industry events to enhance customer value.

Partner with product teams to design and evaluate experiments, build pipelines, dashboards, and reusable analytics assets, perform deep-dive analyses on product funnels and features, and communicate actionable insights to inform roadmap and OKRs.

The role involves analyzing information from various sources, collaborating with teams, performing requirement analysis, and supporting agile activities to deliver solutions that meet stakeholder needs.

The Associate, Analytics and Performance is responsible for media insights, forecasting, reporting, and data analysis to support data-driven decision making.

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

The Senior Category Advisor will analyze market data, develop strategies to enhance category growth, collaborate across teams, and create actionable recommendations for the Cookies and Crackers category.

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.