Job Posting:

The Marketing Analytics Analyst plays a crucial role in helping marketers improve the efficiency of their Marketing strategies and supporting them in making better data-driven decisions.

This role will be responsible for deep dive analysis, experimentation, quantitative campaign support, and marketing efficiency measurement. In addition, you will have the opportunity to work with partners across Marketing on data-driven campaign design, execution, and optimization in support of the continual improvement of our Marketing efforts. The Marketing Analytics Analyst position is responsible for working with Ferguson team members to understand their business challenges and making recommendations.

You will craft media measurement frameworks, set up high-quality tests, create audience samples, and build reports and dashboards. You will be responsible for extracting data from multiple sources, manipulating data, validating data, and communicating findings. You will also help build statistical models.

The successful candidate should be comfortable performing the following: gathering requirements from internal customers, writing queries in SQL, writing code in Python/R/SAS, running A/B tests, developing analytical visualizations, educating partners on the findings, and providing concrete insights. The candidate will be passionate about data and possess a heightened level of attention to detail.

Responsibilities:

• Work with partners to set up tests to measure the relationship between variables to better understand what website interactions, journeys and marketing tactics are most or least influential to business objectives

• Build multifaceted reports and dashboards using data modeling and analysis techniques to uncover insights that will guide strategic decisions and reveal optimization opportunities

• Drive analytical projects to identify new revenue growth opportunities for Marketing, including conducting segmentation analysis, customer lifetime value modeling, churn, and propensity modeling

• Conduct analytical experiments (including A/B tests, causal inference modeling, and geo lift studies) for both online (paid and owned media) and offline/non-digital (traditional media, store/branch) Marketing initiatives

• Scope out Business Analytics needs, define data structures needed for reporting, locate data sources, and identify solutions for data automation. For more sophisticated ETL collaborate closely with our Data Engineering team.

• Design and implement high-quality tests and audience sampling, ensuring normalization of influencing factors and reducing bias to sharpen statistically significant results

• Analyze cross-channel, customer, and transactional data to determine the value of Marketing efforts across all trackable customer touchpoints, both online and offline

• Conduct quantitative campaign performance analysis and make optimization recommendations

• Work with 3rd party measurement partners to design tests and conduct analysis to determine the incremental revenue impact of Marketing efforts

• Leverage industry standard processes in the visual display of information to design and layout visual elements of reports and dashboards, making them easily consumable and interpretable by non-technical audiences

Qualifications:

• Bachelor’s Degree in a quantitative field such as Analytics, Statistics, Computer Science, Mathematics or similar

• 3 - 5+ years shown experience solving ambitious, high-impact problems with data

• Marketing Analytics experiences preferred with a solid understanding of Attribution, Segmentation, Activation, Media Mix Modeling, and Incrementality testing

• Experience in data extraction, data manipulation, and statistical analysis

• Strong SQL experience

• Python/SAS/R experience (Python preferred)

• Solid understanding of Excel

• Knowledge of at least one Business Intelligence tool (Power BI, Tableau, Google Data Studio, Looker, etc.). Power BI experience preferred.

• Preferred prior experience with Google Analytics, UTM tracking, or other web analytics data

• Preferred prior experience with multi-channel e-commerce marketing and paid digital activation with cookie and pixel tracking

• Preferred experience working with data and performing analysis in the Microsoft Azure cloud

• Experience developing predictive models to predict churn risk and upsell/cross-sell propensity is a plus

• Possess a heightened level of attention to detail

• Possess excellent organizational, writing, and analytical skills

Location:

This role is approved for 100% remote work with occasional travel for in-person meetings. If local to Hampton Roads, this role can sit at Ferguson's Corporate Offices in Newport News. Working EST hours is helpful and preferred.

Benefits/Total Rewards:

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!

#LI-Remote

Pay Range:

Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles.

This role is Bonus or Incentive Plan eligible.

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