A Place for Mom

  • Quantitative Marketing Analyst

    Job Location(s) US-WA-Seattle
    Job ID
    # of Openings
  • Overview

    APFM is looking for a passionate marketing analyst that can use their technical skills and marketing knowledge to drive the technical ops strategy for our digital marketing department.


    Are you an experienced marketing analyst who loves creating scalable processes to improve the impact of marketing on a business? Do you have experience aligning data and technology across teams and managing day-to-day cross functional processes? If you are looking for an opportunity to have direct impact on a company’s bottom line, you’ll be the perfect addition to our growing digital marketing crew!


    • Leverage APFM's rich dataset to help transform Marketing into a results-driven, data-informed operation
    • Establish and maintain scalable processes that ensure best practices in overall marketing operations, campaign and lead management
    • Evaluate new technologies and add-on applications to improve and optimize marketing team performance
    • Automate marketing processes including incorporation of data into real-time decision making
      • g., bidding algorithms, data visualization, dynamic creatives, etc.
    • Work closely with our CRM, sales, business intelligence, data services, and product management teams to create marketing processes and reporting that aligns cross-functionally


    • Experience creating and managing a structured best practice approach for managing streamlined cross-channel marketing operations, including tracking, analyzing, and reporting full funnel marketing data and insights
    • Strong familiarity with marketing technology and desire to master it, specifically within:
      • Search Ads 360 (previously DoubleClick Search)
      • GA 360 and/or Adobe Analytics
      • Google and Bing Ads
      • Marketo and SFDC
    • Quantitative undergraduate degree with strong academic record; graduate degree preferred i.e., economics, math, finance, accounting, auditing, business analytics, engineering, computer science etc.
    • Ability to thrive (and preference to work) in a dynamic, fast-paced environment with frequently changing goals and deadlines.
    • Ability to strategize, develop, and manage multiple projects simultaneously in a fast paced environment
    • Experience with SQL, Python, R and general machine learning is required


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