In Boston, we need a

Analyst

Here at Allen & Gerritsen, the current need calls for a radical individual with passion oozing from their very being to join our growing Analytics practice. We’re looking for someone to occupy the role of Analyst, but we’ve got to say, we’re kind of picky. And we’re dead set on finding someone with a desire to tell stories with data, all in support of developing great work for our clients. We dig the type of people who can see beyond the mountains of data files, usual metrics, and obvious results.  We want explorers, critical thinkers, and innovators to help push our capability forward. Insights from our team should help identify new growth opportunities as much as they support amazing, creative ideas. As a member of our team, you will play a pretty pivotal role in leading client projects in the Boston office, while working closely with our colleagues in Philadelphia.  

Responsibilities

  • Execute multiple forms of media and marketing,  leveraging a multitude of data sets, technologies, and statistical methodologies to arrive at meaningful insights and recommendations
  • Analyze the latest real-time performance of campaigns, communicating the trajectory relative to forecasts to key stakeholders, including optimization and experimentation ideas
  • Manage data sources that fuel analysis, ensuring proper capture, translation, and loading into the appropriate warehouse and analysis platforms
  • Work closely with multi-disciplinary peers to ensure campaigns are exceeding performance expectations or are optimized to deliver great results and meaningful insights
  • Support research initiatives, utilizing A&G’s resources and platforms to uncover new audience, marketing, and business insights that enrich performance analysis
  • Communicate with assigned clients to share performance insights, participating in project status meetings
  • Work with others within Analytics to design new types of solutions that will provide richer insights, leveraging the knowledge of analytical, statistical, and data-science driven techniques

Skills Needed for Success:

  • Bachelors degree in Marketing, Marketing Analytics, Statistics, Economics, Business or Finance (a Master’s degree is a plus)
  • 2+ years of professional experience in marketing or business analytics-related functions, whether in an agency environment or within a corporate business intelligence role (college graduates with no full-time experience is OK if education curriculum demonstrates relevant experience)
  • Demonstrated experience in analysis and insight development in the following fields:
    • Media performance (inclusive of digital and online channels)
    • Paid/owned/earned analysis (holistic analysis encompassing all media channels)
    • Experience analytics (ability to analyze all consumer touchpoints across an ecosystem)
    • High level of comfort with data translation, successfully organizing, blending, and transforming disparate data sets into a cohesive database structure
    • Beneficial types of experience:
      • Research and testing (understanding of market research principles and test design/execution/analysis)
      • Marketing contribution (to business performance, quantitative attribution methods)
      • Forecasting and modeling (applying data-science principles to model/forecast design)
  • Key platform experience:
    • Ad-serving platforms (Google Campaign Manager/Ads, Facebook Ads Manager, Kenshoo, Marin, etc.)
    • Web & business analytics solutions (Google Analytics, Adobe Marketing Suite, etc.)
    • Data visualization and analysis software (Tableau, PowerBI, Google Data Studio, etc.)
    • Social and audience intelligence tools (Pulsar, Synthesio, NetBase, Sprinklr, etc.)
    • Business application tools (Google Sheets/Docs/Forms/Slides, Microsoft Word/Excel/PowerPoint, etc.)
    • Beneficial types of experience: 
      • Statistical analysis tools (R, Python, SPSS, etc.)
      • Database translation and pipeline tools (BigQuery, MS SQL Server, Funnel, Improvado, etc.)
      • Relational database management systems & data warehouse (RDMS) (MS SQL Server, BigQuery, etc.)

If you've already mentally checked a bunch of these boxes, hit that Apply button. Let's see if we're a match.

Required fields are indicated with a "*".

Sent!
Check your inbox for a confirmation
message from us.

  • Bachelors degree in Marketing, Marketing Analytics, Statistics, Economics, Business or Finance (a Master’s degree is a plus)
  • 2+ years of professional experience in marketing or business analytics-related functions, whether in an agency environment or within a corporate business intelligence role (college graduates with no full-time experience is OK if education curriculum demonstrates relevant experience)
  • Demonstrated experience in analysis and insight development in the following fields:
    • Media performance (inclusive of digital and online channels)
    • Paid/owned/earned analysis (holistic analysis encompassing all media channels)
    • Experience analytics (ability to analyze all consumer touchpoints across an ecosystem)
    • High level of comfort with data translation, successfully organizing, blending, and transforming disparate data sets into a cohesive database structure
    • Beneficial types of experience:
      • Research and testing (understanding of market research principles and test design/execution/analysis)
      • Marketing contribution (to business performance, quantitative attribution methods)
      • Forecasting and modeling (applying data-science principles to model/forecast design)
  • Key platform experience:
    • Ad-serving platforms (Google Campaign Manager/Ads, Facebook Ads Manager, Kenshoo, Marin, etc.)
    • Web & business analytics solutions (Google Analytics, Adobe Marketing Suite, etc.)
    • Data visualization and analysis software (Tableau, PowerBI, Google Data Studio, etc.)
    • Social and audience intelligence tools (Pulsar, Synthesio, NetBase, Sprinklr, etc.)
    • Business application tools (Google Sheets/Docs/Forms/Slides, Microsoft Word/Excel/PowerPoint, etc.)
    • Beneficial types of experience: 
      • Statistical analysis tools (R, Python, SPSS, etc.)
      • Database translation and pipeline tools (BigQuery, MS SQL Server, Funnel, Improvado, etc.)
      • Relational database management systems & data warehouse (RDMS) (MS SQL Server, BigQuery, etc.)