Spreetail

Sr. Analyst, Marketing Operations

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Job Description

Spreetail is seeking a Senior Analyst to join our Marketing Operations team. In this role, you will continuously innovate our marketing analytics, ensuring all processes and tools are well-documented and supported through training. If you are passionate about automating tools and reducing errors while cross-collaborating, keep scrolling.



How you will achieve success:
  • Design and develop advanced analytics models and tooling infrastructure to optimize marketing processes and tooling. 
  • Oversee and enhance tools like Promotions Optimization, Alerting Dashboard, Brand Workflow Engine, and Channel Search Optimization. Develop new tools required for new business pursuits or advancing current operations. 
  • Continuously monitor marketing processes and performance through advanced data analytics. Work to produce predictive analytics models that the reporting teams can utilize to support key marketing metrics 1+ year in advance (Impact, Lift%, Suppression Risk, Lost Sales from Alerting, etc.).
  • Provide data-driven insights for ad hoc marketing decisions, supporting the marketing management team with necessary data and tools. Ensure the analysis explains business drivers ($s) vs. count metrics. 
  • Work closely with departments like Merchandising, Planners, Training, S&T, FP&A, Pricing, and Demand to align marketing management with market demands. Ensure built solutions can scale (reduce time and increase efficiency) through 5+ years. 

  • What experiences will help you in this role:
  • Bachelor’s degree in Economics, Finance, Business, Statistics, Mathematics, Computer Science, or a related field.
  • 2-5 years of experience in business analytics; Including SQL and Excel as well as data visualization tools (PowerBI, Tableau, etc.).
  • Experience with scripting languages (Python, R).
  • Advanced problem-solving skills with the ability to interpret complex data and deliver actionable insights in business terms (increased revenue, reduced costs, mitigated risk).
  • Strong numerical and analytical aptitude and high proficiency in creating and managing advanced models.