Data Analyst (Contractor)

Magoosh - Berkeley, California - Part time

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 an experienced data analyst contractor with a sound technical foundation and great attention to detail.

This is a part-time, contract role that will require in-person work at our Magoosh office in Berkeley, CA with an hourly pay of $30 - $40, depending on experience. We estimate a work load of 200 hours with a weekly requirement of 24 hours from 11/28/2018 to 1/30/2019 date. You must be authorized to work in the US.

In this position, you will…

  • Explore product, marketing, and customer support data to understand user behavior and make suggestions for new premium features
  • Analyze existing experimental features/products to improve their effectiveness for high school students
  • Ensure data quality of queries/analyses performed by other team members in Magoosh

You…

  • 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

Extra credit if you…

  • 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.

Apply for this job

Apply for this job

Role

Data Analysis

Experience Level

Mid Level

Magoosh

Our mission is simple: create products that give students everywhere access to enjoyable, affordable, and quality test prep.

Share this job

Find your

Dream job in edtech

EdSurge Connect Beta matches talented educators, technologists, and business leaders with amazing edtech companies.

Get Matched

Get our email newsletterSign me up
Keep up to date with our email newsletterSign me up