Advanced Marketing Analyst
Company:Burton Snowboards
Location:Burlington, VT
Job Category:Marketing
Job Type:Year Round

It doesn’t get any better than this—as part of the Burton family, you’ll be putting your skills to work at a global brand offering premium goods for snowboarding and active outdoor lifestyles. With a business built on innovation and progression, working at one of Burton’s US, international offices or retail shops is an opportunity to test your limits and grow. Whatever the role or location, every position at Burton revolves around inspiring passion, all around the globe.

The Breakdown

The Advanced Marketing Analyst is a core position on the Global Customer Engagement Team in Marketing as well as a key support role to the Customer Insights Team at Burton. 

In the role, this analyst is expected to connect the dots between our various quantitative and qualitative data sources, from customer information to survey responses, to help us measure our marketing and business performance and identify solutions to improve that performance.  This role will be key in Burton’s pursuit to use data across all of our decisions, starting with marketing and customer insights, and weaving into different core areas of the business.

The ideal candidate would have a quantitative background, experience with raw data sets and data modeling, and strong interpersonal skills to clearly communicate insights, ideas, and create solutions that could be delivered to everyone from Burton Guides to an executive audience. 


What You Get to Do

  • Use data to connect thedots, find patterns, track trends, and, ultimately, tell stories, to translate that work into usable insights for all-levels.
  • Collaborate with Marketing, DTC, IT and Product team leaders to evolve the data and analytics infrastructure including data warehousing, data viz, data quality, governance, machine learning (ML) and artificial intelligence (AI).
  • Provide quantitative, statistical, and analytic support to the Customer Insights team through programming and validation of consumer surveys and analysis of customer data from a variety of primary data sources, such as the customer data platform (CDP).
  • Analyze data gathered from the CDP and other first and third-party data sources to find patterns and develop an understanding of customer behavior (past, present, and future) and campaign performance to make strategic recommendations and predictions.
  • Assist in Burton’s endeavor into data science technologies and methodologies to educate key stakeholders and provide a foundation for statistical methods, modeling, testing, ML, and AI to provide more robust and efficient analyses and data products.
  • Story-tell through data visualizations focused on business, marketing, and customer KPIs using modern technologies (Looker, Power BI, R, Python, Kibana, etc.) to simplify and expedite trend and performance measurement.
  • Partnering with other IT resources to educate, document, and enlist their support for workflows, processes, and technologies to manage the customer data platform (CDP) and other digital products.


What You’ll Bring to the Team:

  • Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Information Systems, or Marketing (with an analytic focus) or other quantitative fields with relevant business experience also considered
  • Familiarity with Marketing and DTC business objectives for a brand, retail, and wholesale business with a track record of delivering valuable insights that led to changes in behavior or action, with key experience in attraction, engagement, and retention programs as well as attribution modeling
  • Experience programming, managing, and reporting survey data in consumer panel/survey tools (such as Qualtrics); ability to perform statistical testing on primary consumer data
  • Experience with data modeling, data mining, and predictive analysis, notably: natural language processing (NLP), segmentation, driver analyses, factor analysis, cluster analysis, correlational and descriptive analyses, choice modeling (conjoint, discrete choice, MaxDiff) and advanced modeling (all variants of regression, including multivariate, logistic, multinomial logistic, random forest, etc.).
  • Command of SQL and programming languages such as Python or R, (but experience with SAS, SPSS, etc. will be considered.) and data visualization packages and toolsets including Power BI, Looker, Google Data Studio, Excel, d3.js