Sap Bi Dash Analytics And Reporting Consultant, New Zealand

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Shopify

Product Data Scientists

  • Posted Today
  • Remote
  • Full Time

Job Description

About Shopify
Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.

This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

About you
Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

Before you apply, consider if you can:

  • Care deeply about what you do and about making commerce better for everyone
  • Excel by seeking professional and personal hypergrowth
  • Keep up with an unrelenting pace (the week, not the quarter)
  • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
  • Bring critical thought and opinion
  • Embrace differences and disagreement to get shit done and move forward
  • Work digital-first for your daily work


About the role
Product data scientists at Shopify tell the story of the building blocks of commerce. They guide product development and improvement by partnering across disciplines and influencing a culture of data-informed [not data-driven] decision making. Our data scientists uncover the insights that inform how Shopify decides on what products to build and how to build them.

Why you’ll love working at Shopify

  • Seek objective truth. Our goal is to search for the objective truth through analysis so we can challenge assumptions and judgements.
  • Help with the big decisions Apply analytical, statistical, and technical skills to drive insights that inform business actions and product decisions.
  • Leverage advanced analytics tools. Use cutting-edge techniques like regression, segmentation, and experimentation.


Ready to turn data into product discovery? Join the team that's making commerce better for everyone.

Hard Skills Required

  • Data Analysis
  • Statistical Methods
  • Regression Analysis
  • Experimentation Techniques
  • Data Visualization

Soft Skills Required

  • Problem Solving
  • Communication
  • Critical Thinking
  • Collaboration
  • Adaptability

Job Schedule

  • Shift Work

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