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Archive

Data Analyst

Posted 10 Days Ago
Remote
Mid level
Remote
Mid level
The Data Analyst will develop data models, reporting practices, and dashboards to support decision-making and customer analytics for Archive and its partners.
The summary above was generated by AI

Join Archive in our mission to change consumer shopping behavior for the better. If you think humans buy too much stuff and throw too much away, then this problem is for you. As the leading technology platform for branded resale, we now power circular businesses for 50+ brands globally including The North Face, New Balance, Dr. Marten’s, Oscar de la Renta, Faherty, and more.


We are growing our team of highly motivated, forward-thinking individuals to help build the most delightful user experience for shopping used items, and the software to help brands make this a significant part of their business. If this mission speaks to you, come join us as we grow our share of the booming second hand market—projected to grow 3X faster than the overall global apparel market and to hit $350 Billion globally by 2028.

The Role. You will…

  • Architect data models to drive performance metrics and business analytics
  • Develop reporting practices to enable decision making for Archive and its partners
  • Build dashboards to drive customer analytics for program performance
  • Deliver internal reports for Archive's finance and growth teams
  • Manage ad hoc data requests balanced with longer term project deliverables

The Stack. We use…

  • Technologies: SQL, Python, Spark
  • Database: PostgreSQL
  • Data Platforms: Palantir Foundry, Hex, Snowflake
  • Infrastructure: AWS

Your Experience. You have…

  • Proficiency in SQL and Python
  • Experience designing and building dashboards
  • Experience building and delivering reporting
  • Strong statistical knowledge
  • Consistent attention to detail
  • Clear communication practices around data insights
  • Bonus: experience with data management systems or data warehouses
  • Bonus: experience working with large datasets using modern data languages and libraries (e.g. Spark)

Our team of over 50 employees is currently remote-first, with an office in NYC and optional in-person work for those located in the area. We have company offsites twice a year to bring the full team together in person, and occasional travel is expected as part of the job.


Archive is a Series B company backed by lauded investors including Lightspeed Venture Partners, Energize Capital, and Bain Capital Ventures. We prize an inclusive and transparent culture, and remain true to our values in everything we do. We were honored as Fast Company’s #2 Most Innovative Company in Retail in 2024, and continue to challenge ourselves to change consumer shopping behavior for the better.


We consider applicants of all backgrounds. If you are excited about what we’re building but don't meet some of the criteria above, please don’t let that discourage you from applying.


All applicants must be U.S. work authorized and live within the Continental U.S.

Top Skills

AWS
Hex
Palantir Foundry
Postgres
Python
Snowflake
Spark
SQL

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