Lead Marketing Analyst

FERGUSON

1d•Hybrid

About The Position

Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers’ complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in. The Lead Marketing Analyst is strategic and technical, responsible for driving advanced analytics initiatives that inform data-driven decisions. This role plays a critical part in elevating analytics rigor across the marketing organization, enabling more confident prioritization, segmentation, investment decisions, and performance optimization. The Lead Marketing Analyst partners with senior partners and cross-functional teams including Marketing, Finance, Enterprise Data, and Customer Experience to shape marketing strategies, influence decision-making, and improve return on investment through actionable insights and strategic guidance. Location: This role is approved to be either Remote within the United States or Hybrid out of Ferguson's corporate offices in Newport News, VA, in accordance with company policy.

Requirements

Bachelor’s or Master’s degree in Marketing Analytics, Data Science, Statistics, or a related field and/or proven work experience.
5+ years of experience in marketing analytics, with at least 2 years in a senior or lead role.
Proven experience applying data science techniques and strategic frameworks in a marketing context.
Proficiency in SQL and Python or R for data manipulation, modeling, and automation.
Strong knowledge of BI tools (Tableau, Power BI) and data visualization best practices.
Familiarity with marketing technology platforms, attribution models, and data governance standards.

Responsibilities

Advanced Analytics and Data Science Develop predictive models and use machine learning algorithms to support targeting, personalization, and budget optimization.
Steer test design, A/B experimentation, and causal inference analyses to accurately measure marketing impact, isolate lift, and inform optimization decisions.
Perform feature engineering, statistical modeling, and model deployment for marketing initiatives.
Extract, validate, and manipulate data from multiple sources, ensuring data integrity and compliance with data governance and consumer privacy standards.
Strategic Insights and Partner Collaboration Translate complex analytical findings into strategic recommendations that influence marketing and executive decision-making.
Partner with Power BI developers to build automated dashboards and reporting solutions that visualize marketing performance and enable self-service analytics.
Collaborate with marketing leadership to design test & measurement frameworks, attribution models, and optimization methodologies for media and campaign strategies.
Act as a trusted advisor to senior partners, providing insights that align with organizational goals and marketing objectives.
Educate data-driven decision-making by presenting methodologies, frameworks, and guidelines to leadership and cross-functional teams.
Strategic Planning and Methodology Development Standardize measurement frameworks to ensure consistency and scalability.
Lead the creation of strategic roadmaps for marketing analytics, aligning initiatives with business priorities and growth objectives.
Enhance benchmarking and scenario planning methodologies to guide investment decisions and optimize marketing spend.
Mentorship and Team Development Provide guidance, coaching, and technical support to other analysts.
Lead knowledge-sharing sessions and help develop best practices for marketing analytics, fostering a culture of continuous learning and analytical excellence.
Innovation and Continuous Improvement Stay current on emerging technologies, data science techniques, and marketing analytics trends.
Find opportunities for automation and process optimization within marketing analytics workflows.