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Analytics Manager (Boston)

AMP is searching for an experienced marketing mind to join our growing Analytics team. Aspiring candidates should have a passion for critical thinking, storytelling, and cross-team collaboration. This Manager will collaborate closely with our Media team, and have a visible role within the agency – playing a day-to-day leadership role on several key accounts.


  • Collaborate closely with client teams to guide data strategy, insight generation, integrated cross-channel storytelling, and analytics program evolution.
  • Act as primary day-to-day analytics lead on several key agency accounts – providing a holistic view of marketing impact, interpreting trends, identifying opportunities and leading the conversation around data activation.
  • Guide the cross-functional agency team’s learning agenda, generate hypotheses, and encourage a culture of experimentation.
  • Mentor junior team members, with a focus on skill and career development.
  • Partner with technical resources to guide implementation of key technologies to support data strategy.


  • Between 4-6 years of agency or brand-side marketing analytics experience, with an emphasis on media measurement.
  • A history of working in client-facing or communication-focused roles where presentation and storytelling were key responsibilities.
  • Experience mentoring junior team members.
  • Working knowledge of basic databasing concepts (e.g. granularity, primary keys, foreign keys, joins).
  • Advanced working knowledge of key platforms and data types in the marketing space; specifically media ad-serving data (e.g. DCM), social platform data (e.g. Facebook/Instagram), and web analytics data (e.g. Google Analytics).
  • Experience with at least one data analysis/visualization tool (e.g. Power BI, Tableau).
  • Experience with presentation software (e.g. PowerPoint, Keynote).
  • Experience with an attribution technology provider (e.g. Visual IQ, C3).
  • Experience with a tag management solution (e.g. GTM) is a plus.
  • Experience with a statistical tool (e.g. SAS, SPSS) or relational database management system (e.g. Oracle, MS SQL Server) is a plus.
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