Manager, Marketing Analytics

As an EEO/Affirmative Action Employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or veteran status.

WM, a Fortune 250 company, is the leading provider of comprehensive waste and environmental services in North America. We are strongly committed to a foundation of operating excellence, professionalism and financial strength.  WM serves nearly 25 million customers in residential, commercial, industrial and municipal markets throughout North America through a network of collection operations, transfer stations, landfills, recycling facilities and waste-based energy production projects.

 

I.  Job Summary
 

This position will support the execution of WM’s marketing measurement strategy. The ideal candidate will have subject matter expertise in marketing and the application of applied statistics to develop strategic marketing practices and measurement.  This role will challenge the candidate to not only provide strategic direction to internal stakeholders, but also to develop strategic insights into marketing campaign.

The Marketing Scientist will support Demand Gen campaign reporting across key lines of business and perform additional project-based work.  He/she will also support proprietary research, the WM Phoenix Open, and other projects. 
 

II.  Essential Duties and Responsibilities 
To perform this job successfully, an individual must be able to perform each duty satisfactorily.  Other ancillary duties may be assigned. 

• Measure the effectiveness of paid media including SEM, paid social, programmatic display, email, and affiliate marketing, report daily, weekly, and monthly to internal teams and executives.
• Provide strategic recommendations for distribution of spend and digital media strategy based on findings and results.
• Perform pre/post-campaign analysis, target list development, and scorecards to lead data-driven decision making.
• Clean, transform, and ensure accuracy of large digital data sets, using data flows and automations where needed.
• Develop models and techniques to measure the business, predict the incremental return on investment and revenue attribution.
• Synthesize data from multiple internal data sources to answer impactful business questions.
• Optimize visualization tools such as PowerBI with KPIs and actionable insights.
• Proactively participate in and identify opportunities for efficiency, automation, standardization, and process simplification.
• Work with internal and external partners to support WM proprietary research, Marketing Experiments, and Campaign Performance Reporting.
• Collaborate with stakeholders to establish requirements for recurring and ad-hoc analytics; including delivery of reporting, actionable insights, and recommendations to drive business growth.

III.  Supervisory Responsibilities
 

This position has no supervisory responsibilities.

IV.  Qualifications
The requirements listed below are representative of the qualifications necessary to perform the job.  
  
A.  Education and Experience

• Education:  Bachelor's degree (accredited) in Economics, Applied Mathematics, Computer Science, or similar area of study, or in lieu of degree, High School Diploma or GED and 4 years of relative work experience.
• Experience: Five years of relevant work experience (in addition to education requirement).

B.  Certificates, Licenses, Registrations or Other Requirements

• Preferred: Google Analytics, Adobe Experience Cloud, Salesforce, coding on analytics platforms such as R or Python, coding for data management such as SQL or Python.

C. Other Knowledge, Skills or Abilities Required
Advanced knowledge and skills in one or more of the following is required:

• Data analyst experience to build, validate, and deploy statistical or data science models and statistical analysis.
• 3+ years of experience with econometric techniques for test design, marketing attribution, predictive modeling.
• Experience working with relational databases and building Marketing Mix or other Marketing Attribution Model.
• Experience in developing and executing long term analytical roadmaps that build analytical capabilities and guide their adoption among stakeholders.
• Expertise in applied statistical or data science models and methods including visualization, clustering, tree-based models, GBMs, optimization, data manipulation, and data-process automation.
• Expertise in statistical analysis approaches such as time series, regression, structural equation modeling, fore