Growth Data Analyst, Data Science

Remote - Toronto, Canada

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Posted 1 month ago

GitHub helps companies, organizations, and groups of individuals succeed by allowing them to build better software, together. The engineering organization is looking for a motivated Data Analyst who will report into our Data Science group and closely partner with our Growth team to provide best-in-class insights generation to unlock company-wide understanding of our growth levers to get more people to succeed with GitHub and become customers.

As a Growth Data Analyst within the Data Science team, you will leverage data and automation to help GitHub solve impactful business, marketing, and growth problems across all of GitHub’s product surfaces (github.com, emails, notifications, etc.).

GitHub is an exciting place to work joining a tight-knit environment of technical and business-minded individuals. This role is an individual contributor role with significant growth potential. 

Responsibilities:

  • Dig into large data sets across the customer life cycle to identify trends, gaps, and opportunities to grow the business
  • Identify growth opportunities and propose new experiments. We believe great ideas come from everywhere in the team!
  • Work with our data science team to analyze test outcomes and report results to share with a varied audience
  • Perform ad hoc analyses of varying depth to support strategic initiatives and answer questions arising in the day to day business
  • Present your awesome data results and recommendations to leaders

Minimum Qualifications:

  • A Bachelor’s Degree in statistics, math, engineering, computer science, economics, business, or a related technical field.
  • 2+ years prior relevant experience in an Analytics role covering product or engineering
  • Experience translating requirements into analysis questions that can be directly actioned
  • Experience conducting statistical analysis using Python / R (or equivalent) on experiments
  • Expertise in writing SQL queries and working with multiple data sets to develop analytical solutions for defined business problems
  • Experience with engineering practices around analytical rigor and the ability to make analyses reproducible
  • Demonstrated ability to synthesize and communicate analysis into insights that inform business decision making
  • Demonstrated willingness to both teach others and learn new analytical problem solving techniques

Who We Are:

GitHub is the developer company. We make it easier for developers to be developers: to work together, to solve challenging problems, and to create the world’s most important technologies. We foster a collaborative community that can come together—as individuals and in teams—to create the future of software and make a difference in the world.

Leadership Principles:

Customer Obsessed - Trust by Default - Ship to Learn - Own the Outcome - Growth Mindset - Global Product, Global Team - Anything is Possible - Practice Kindness

Why You Should Join:

At GitHub, we constantly strive to create an environment that allows our employees (Hubbers) to do the best work of their lives. We've designed one of the coolest workspaces in San Francisco (HQ), where many Hubbers work, snack, and create daily. The rest of our Hubbers work remotely around the globe. Check out an updated list of where we can hire here: https://github.com/about/careers/remote

We are also committed to keeping Hubbers healthy, motivated, focused and creative. We've designed our top-notch benefits program with these goals in mind. In a nutshell, we've built a place where we truly love working, we think you will too.

GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!

Please note that benefits vary by country. If you have any questions, please don't hesitate to ask your Talent Partner.

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Job tags: Economics Engineering Marketing Python R SQL
Job region(s): North America Remote/Anywhere
Job stats:  82  18  0
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