Rarefied talent in data science, data technology, and analytics

Data Analyst (commerce app analytics)

Geomagical Labs

Job Description

Geomagical Labs is building AI-powered mixed-reality internet commerce applications, for millions of users around the world, in partnership with IKEA.

We are looking for a data analyst, with experience analyzing internet app dynamics & funnels, to develop insightful analytics and visualizations, track time-series KPIs, and drive product improvement. This could be a dream job for an entrepreneurial data analyst to join on the ground floor of an innovative, mass-scale product effort.

In this role, you will be responsible for:

  • Answering important questions about product and user behavior, trended over time.
  • ETL aggregation from SQL, mixpanel, firebase & other sources into DOMO for analysis.
  • Tracking sessions and analyzing conversion funnels.
  • Developing key charts and visualizations for KPIs to support our executives.
  • Proposing changes in our products to improve customer & business outcomes.


  • B.S. or higher degree in STEM (Computer Science, Mathematics, Data Science, etc.).
  • 3+ years experience developing business analytics & visualizations.
  • Experience with internet event & funnel tracking (e.g. mixpanel).
  • Expert spreadsheet & pivot table skills.
  • Solid SQL skills.
  • Strong communication skills (written and verbal).
  • Self-driven, with excellent planning, organizational, and time-management skills.
  • BONUS: Experience with DOMO, including Beast Mode & ETL.
  • BONUS: Proficient Python programming & data processing skills.
  • Must live within 4 hours of USA Pacific Time Zone to effectively collaborate with California-based team.
  • 6 month contract with opportunities for deeper involvement for proven candidates.


  • Learn skills in the rapidly growing fields of AI and mixed reality.
  • Provide key data insights for an app with hundreds of millions of users.
  • Remote work available for candidates living +/- 4 hours of USA Pacific Time.
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