Senior Analyst, Marketing Science

Primary Function: 

The Senior Analyst, Marketing Science will use customer and marketing data to generate actionable insights and strategically drive Zoro's growth. This includes designing and running advanced analytics (MMM, MTA, A/B testing, especially geo/user-based) to understand channel performance and increase marketing effectiveness. The goal is to drive data-driven, bottom-up recommendations for optimizing marketing spend and increasing revenue per customer.

 

Duties and Responsibilities: 

• Design, build, and maintain advanced marketing measurement strategies, primarily focusing on Media Mix Modeling (MMM) and Multi-Touch Attribution (MTA) to guide marketing channel investment and strategy.
• Lead the planning, execution, and measurement of incrementality testing (A/B), including specialized methods like geo-based and user-based testing, and optimization of the testing process
• Provide analytic supports for key business activities including strategic initiatives, campaigns design, media mix, attribution and channel performance strategy
• Leading the end to end analytical process: receive and evaluate business partners’ requests, develop analytical plan and methodology, confirm analytical plans with business partners, implement data analyses, and provide recommendations.
• Provide insights to business on initiatives in the areas of marketing channel performance, incrementality and measurement of AB testing, customer acquisition, activation, engagement, and retention and channel investment optimization
• Responsible for managing advanced analytical marketing projects and collaborating with internal business partners to support strategy development and tactic planning
• Lead monthly review meetings to share insight

 

Qualifications: 

• 3+ years of progressive experience in marketing analytics, advanced statistical modeling, and experimental design. Required experience includes designing and deploying Media Mix Modeling (MMM) and/or Multi-Touch Attribution (MTA) in an Internet, e-commerce, or consumer-focused environment.
• Proven experience designing, executing, and measuring causal inference studies, including geo-based testing and quasi-experimental methods (e.g., Difference-in-Differences, Synthetic Control) for marketing incrementality.
• Prior experience leveraging machine learning and statistical analysis to translate large datasets into actionable business recommendations for executive decision-making.
• Expert proficiency in SQL and statistical programming languages (R or Python) for data manipulation, statistical analysis, and model building (e.g., Bayesian methods). Demonstrated proficiency with BI tools (Looker, Tableau, Google Data Studio, etc.).
• Strong communication skills in order to collaborate effectively with business stakeholders. Must be able to interact cross-functionally and drive both business and technical discussions 
• Bachelor’s degree in quantitative fields such as Statistics, Engineering, Operational Research, or Economics
• Capable of thinking through complex business problems and solving them by analyzing large amounts of data. 
• Proficiency in Microsoft Office or Google Workspace: spreadsheet and presentation creation 
• Strong experience working with cloud data warehouses (BigQuery) and web analytics platforms (e.g., Google Analytics) to access, transform, and prepare data for modeling.