Analyst, Analytics

Analyst, Analytics
Hingham, Massachusetts - US

Job Description

Why Talbots? 

  • You LOVE data
  • Challenging problems get you pumped
  • You like having smart awesome team members
  • Our leadership is data-driven
  • The vision is omni-channel and device agnostic
  • Talbots’s appetite for cutting-edge analytics is strong and so are the investments, which include you!


The role: 

The Analyst, Analytics is responsible for delivering quantitative analysis of customer behavior and actionable recommendations to drive business decisions. In this position, you will partner with Media and E-Commerce teams to solve key business questions by aggregating data, performing the analysis, and presenting findings and recommendations. A successful candidate is self-motivated, capable of taking on projects with increasing levels of complexity, and an avid learner.

Principal Accountabilities:

  • Optimize investments across online marketing channels, partners, and campaigns
  • Measure and articulate returns across attribution and incrementality techniques
  • Identify optimal touchpoint cadence, sequence, and media mix to maximize response
  • Build and operationalize key segments, return on ad spend targets, and bid models
  • Own attribution modeling platform, including data integrity and insights
  • Develop measurement strategy and design tests – including sampling techniques and determining statistical significance (chi-square, t-test, ANOVA, correlation, etc)
  • Gather data from disparate sources and develop actionable integrated reports

Job Requirements


  • Strong quantitative, analytical, and problem solving skills.
  • Bachelors degree in applied math, statistics, engineering, economics, computer science (or similar).
  • 2+ years of relevant work experience.
  • Experience with query language such as SQL, VBA, or equivalent.
  • Experience with data wrangling tools and techniques such as joins, filters, or others.
  • Experience with statistical significance techniques such as t-test, correlation, or others.
  • Experience with web or media analytics a plus.
  • Experience with statistical software such as SAS, R, or equivalent is a plus.
  • Experience with basic statistical techniques, such as regression or clustering, is a plus.
  • Ability to manage multiple projects and deliver against aggressive deadlines.

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