Data Support Associate


Foursquare is the leading independent location technology and data cloud platform, dedicated to building meaningful bridges between digital spaces and physical places. Our proprietary technology unlocks the most accurate, trustworthy location data in the world, empowering businesses to answer key questions, uncover hidden insights, improve customer experiences, and achieve better business outcomes. A pioneer of the geo-location space, Foursquare’s location tech stack is being utilized by the world’s largest enterprises and most recognizable brands.

Foursquare’s flexible building blocks include technology to maximize marketing impact and drive incremental real-world engagement (Attribution, Audience, Proximity, SDK); data to deeply understand points of interest and real-world behavior patterns (Places and Visits), and tools to conduct advanced analysis, data enrichment, unification and visualization (Unfolded Studio).

About the Team:

The Data Support team is a group of technical specialists that play a critical role in providing consumers of our apps and customers of our products access to high-quality POI data. The team is responsible for helping Customer Success improve the match rate of 3rd party datasets to FSQ datasets, reviewing data quality feedback, researching online and utilizing internal tools to resolve data issues, and for researching the availability, quality, and completeness of new data sources.

About the Position:

We're seeking an independent, efficient, and hard-working person who genuinely enjoys helping others. A successful team member enjoys analyzing data, excels at written communication, and is able to perform effective online research. As a part of the Data Support team, you will play a vital role in ensuring high-quality data across our Places database and supporting our Attribution product.

We are looking for talented individuals with a degree in STEM fields, who strive to grow into a Data Analyst role.

This is a great way to get your foot in the door into the tech scene!

In this role you’ll:

  • Curate and vet popular venues in our database to help ensure users have access to highly-personalized recommendations
  • Use internal tooling to add/remove/edit various attributes in our Places dataset
  • Analyze and QA data feedback
  • Research specific chains and brands to validate venue-level firmographic data accuracy
  • Improve the match rate of our POI data with one of our many outside data sources
  • Annotate sample datasets in order to understand to identify the severity of issues and the quality of new potential datasets

What you’ll need:

  • Strong work ethic and acute attention to detail
  • Efficient and effective online research skills
  • Familiarity with online mapping platforms
  • Excellent verbal and written communication skills
  • A careful eye to help identify, troubleshoot, and report bugs
  • Experience with Excel or Google Sheets
  • Experience with SQL and a programming language
  • Experience scripting or automating processes

Nice to have:

  • Prior experience with Jira or Asana
  • A passionate Foursquare and/or Swarm user

Benefits and perks:

  • We are a fully flexible company that allows you to work from any location in Serbia
  • 20 days of paid vacation
  • Summer Fridays, two non-working Fridays each July and August
  • Learning and development programs from individual contributors to managers
  • Individual, professional coaching for all full-time employees
  • Annual Budget for education, professional growth, etc.
  • Restricted Stock Units

Foursquare is proud to foster an inclusive environment that is free from discrimination. We strongly believe in order to build the best products, we need a diversity of perspectives and backgrounds. This leads to a more delightful experience for our users and team members. We value listening to every voice and we encourage everyone to come be a part of building a company and products we love.

Foursquare is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.


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