Data Analyst at Magoosh in Berkeley, CA

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About Magoosh

Magoosh is fixing a broken test prep industry. 


Why should students have to put up with exorbitant prices for boring prep classes and books that might not even work? With Magoosh, they don’t have to. Our mission is simple: create products that give students everywhere access to enjoyable, affordable, and quality test prep. We help millions study at their own pace, on their own time regardless of location, social status, or background. Our team is driven to build the best content and study tools because we’re out to change the test prep experience for all. 


Magoosh started in 2009 with four co-founders and a few computers. Today, we're growing fast and our products are used all over the world in more than 180 countries. Millions have studied with us, downloaded our apps, and watched our videos. And every single day, we work with students to help them get the scores they need to get into the schools they want.


We first and foremost care about helping students, and we’ve turned test prep from a necessary evil into an enjoyable experience at an affordable price.


If you’re a friendly, passionate, lifelong learner who’s looking to make a real difference in students’ lives, we want you to help us level the educational playing field. We also believe it's really important that our team reflects the diversity of our students. We strongly encourage members of underrepresented groups and people of diverse backgrounds to apply.


Check out our values here!


About the Job 

We’re looking for a business-savvy and technical data analyst to help us provide affordable, effective, and enjoyable test prep to even more students across the globe. You will play a critical role in defining and solving many strategic and operational problems we face. More importantly, you will have an excellent playground to develop as a generalist data professional and work on solutions that truly matter for the company.


This position is a full-time, in-office position based in the Magoosh office in Berkeley, CA with an annual salary of $108,000 to $118,000, depending on experience. You must be authorized to work in the US.


You’d enjoy it here if you... 

  • Are excited about working across departments to solve a wide range of problems from identifying where our new users are coming from to increasing how often students study with Magoosh
  • Love running experiments that affect millions of students' experiences
  • Are up for the challenge of maintaining and improving our data warehouse to empower the entire company
  • Enjoy building a data-centric culture with smart and dedicated colleagues who continuously challenge and support you


In this position, you will…

  • Build a comprehensive set of dashboards for product and marketing to empower your colleagues in their own decision making
  • Perform ad hoc analysis across departments and make actionable suggestions
  • Guide experimentations for individual product features or marketing campaigns, from beginning to end
  • Instrument new data collections and refine our current data warehousing architecture



  • Have college-level coursework in probability theory, machine learning/econometrics, and research design, or equivalent work experience
  • Are proficient in Python/R: you need little help implementing standard machine learning algorithms and can easily explain the results
  • Have at least 1 year of work experience with SQL in an analytical role: you can independently optimize your query for performance & readability
  • Are comfortable with Excel: you can easily create pivot tables, nested conditions, and lookups
  • Have real-life experience translating business problems into data problems with different stakeholders.
  • Can explain in layman's terms the intuition behind your statistical models and build trust among your colleagues


Extra credit if you…

  • Have real-life experience using data analysis or building data products to reach significant business metrics
  • Can creatively solve a data problem by either modifying an off-the-shelf solution or defining your own method
  • Are experienced with mining very large (several million rows) and messy (missing values & non-tabular) datasets
  • Have worked with Mixpanel and Google Analytics


Note: Please feel free to apply, even if you don’t meet all the requirements for the position.


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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