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Data Analyst II

Join our team as a Data Analyst II and you will help leading consumer brands use data and technology to discover insights, improve decision-making, and transform their businesses. 
Join our team as a Data Analyst and you will help leading consumer brands use data and technology to discover insights, improve decision-making, and transform their businesses.
As a Data Analyst at Stackline, you will use your experience to analyze and glean insights from massive data pipelines, as we process, ingest and cleanse over a billion data points each week. You will be working closely with Data Scientists and Product Management teams to deliver high quality data products. This is a very hands-on analytical role, where a large part of your time is spent performing mathematical deep-dives across our diverse array of datasets. 

Responsibilities
  • Conduct end-to-end analyses on datasets across our business.
  • Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical techniques.
  • Utilize analytical techniques to design algorithms for outlier detection.
  • Use existing insights and develop new strategies to drive the product strategy.
Minimum Qualifications
  • B.S./B.A. in Mathematics, Physics, Computer Science, or another technical field.
  • Demonstrated experience with Python and SQL.
  • 2+ year of direct industry work experience in one or more of the following areas: data science, data analytics or data engineering.
  • 2+ year experience with statistics and probability, particularly their application in systems analysis and operations research.
Preferred Qualifications
  • Prior experience with big data technologies such as Hadoop or Spark.
  • Prior experience using machine learning tools such as Tensorflow or sklearn.
  • Demonstrated experience designing and building new ideas, working closely with technical teams from concept generation through implementation.
  • Experience working in a startup, retail, digital advertising, or e-commerce environment.