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Director Of Marketing Analytics 🔥

Job Description: Ferguson is North America’s leading value-added distributor across residential, non-residential, new construction and repair, maintenance, and improvement (RMI) end markets. Spanning 34,000 suppliers and more than one million customers, we deliver local expertise, value-added solutions, and the industry’s most extensive portfolio of products. From infrastructure, plumbing, and appliances, to HVAC, fire protection, fabrication, and more, we make our customers’ complex projects simple, successful, and sustainable. Ferguson Marketing is looking for a hands-on Director to lead the Marketing Analytics function, including deep dive analysis, marketing data science, customer segmentation, experimentation, campaign support, and marketing efficiency measurement. This role will also lead strategic analysis to uncover new opportunities for Marketing to contribute to revenue growth and make strategic recommendations to business partners to capitalize on those opportunities. This an exciting chance to create a strategic contribution to growing Ferguson's customer value from prospect through conversion and value expansion throughout the customer lifecycle journey. This role reports into the Senior Director, Marketing Analytics & Insights. Responsibilities: Strategic Analysis
  • Analyze data to identify new revenue growth opportunities for Marketing, including conducting segmentation analysis, customer lifetime value modeling, and propensity modeling
  • Tap into a variety of internal and external tools, including web analytics, search trends, email campaign performance, social media data, survey results, CRM data and transactional data, to deliver holistic insights that will be used to advise our strategy
  • Translate findings into growth strategy recommendations and influence leaders across the organization to take action
Campaign Analytics
  • Work with marketing business partners and channel owners to ensure campaigns have clear revenue goals and supporting metrics as well as appropriate leading indicators to support in-flight optimization
  • Work with campaign owners to uncover testable hypotheses and assumptions in the audience/campaign design that warrant testing
  • Lead performance analysis and make optimization recommendations
Test & Learn
  • Oversee the design of experiments and usage of causal inference to determine the revenue impact of our marketing investments, from measuring the impact of brand investments to determining the appropriate channel mix for each stage in the customer lifecycle
  • Combine functional knowledge of marketing with statistical know-how to craft experiments and conduct causal inference analysis for both online (paid and owned media) and offline/non-digital (traditional media, store/branch) marketing initiatives as well as fully coordinated (online and offline) initiatives
  • Ensure high quality test design as well as audience selection and sampling, ensuring normalization of influencing factors and reducing bias to sharpen statistically significant results
Measure Marketing Effectiveness
  • Develop methodologies to determine ROI of marketing efforts spanning the entire customer journey, combining both the online and offline worlds, covering all trackable customer touchpoints across all mediums
  • Leverage tools such as attribution modeling, incrementality testing, etc. to inform budget allocations and build business cases for additional marketing investments
Lifecycle Marketing
  • Be an evangelist for how Marketers should use data, analytical outputs, and marketing technology to better market to customers based on their persona and lifecycle stage
  • Work with marketing business partners, channel owners, and customer experience teams to identify opportunities to leverage data signals to drive lifecycle-based nurture campaigns
  • Provide thought leadership & critical thinking to translate business problems into analytical frameworks and experimental designs
  • Manage the analytics roadmap and prioritize incoming requests based on business value
  • Bachelor’s Degree in Analytics, Statistics, Computer Science, Mathematics or similar. Master’s Degree preferred.
  • 8+ years of proven experience solving challenging, high-impact Marketing problems with data
  • Must have significant prior experience with SQL
  • Must have some experience with Python/R or other statistical programming language (Python preferred)
  • Must possess strong solid understanding of a Business Intelligence / Data Visualization tool (PowerBI preferred)
  • Strong ability to tell stories with data to audiences diverse in level, background, and level of technical expertise
  • Must have experience developing Marketing Mix and Attribution models
  • Experience developing predictive models to predict churn risk and upsell/cross-sell propensity a plus
  • Experience working with data and performing analysis in the Microsoft Azure cloud preferred
Ferguson is dedicated to providing meaningful benefits programs and products to our associates and their families—geared toward benefits, wellness, financial protection, and retirement savings. Ferguson offers a competitive benefits package that includes medical, dental, vision, retirement savings with company match, paid leave (vacation, sick, personal, holiday, and parental), employee assistance programs, associate discounts, community involvement opportunities, and much more!
The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability. Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity. Equal Employment Opportunity and Reasonable Accommodation Information

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