Metropolis Technologies Offices

Metropolis Technologies is headquartered in Santa Monica and has 7 office locations.

OnSite Workplace

Employees work from physical offices.

Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week.

Typical time on-site: 5 days a week

U.S. Office Locations

Global Office Locations

HQ

Santa Monica

Santa Monica, CA, United States, 90401

Austin

Austin, TX, United States

Chicago

Chicago, IL, United States, 60601

Nashville

Nashville, TN, United States, 37201

New York

New York, NY, United States, 10012

Seattle

Seattle, WA, United States, 98109

9 Hours AgoSaved
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In-Office
Nashville, TN, USA
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Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Partner with business teams to define analytics roadmaps, build Tableau dashboards, write complex SQL, collaborate with Data Engineering on the data warehouse, maintain a data catalog and governance, set SLAs, optimize analytics performance, and mentor junior analysts.
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In-Office
New York, NY, USA
Easy Apply
Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Senior Data Analyst partnering with product, engineering, sales, and operations to define analytics roadmaps, craft complex SQL analyses, build Tableau dashboards, evolve the data warehouse with Data Engineering, maintain data cataloguing and governance, ensure analytics SLAs, and mentor junior analysts.
9 Hours AgoSaved
Easy Apply
In-Office
Seattle, WA, USA
Easy Apply
Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Partner with business teams to define analytics roadmaps, build dashboards and visualizations in Tableau, write complex SQL for ad hoc analysis, collaborate with Data Engineering to evolve the data warehouse, maintain a data catalog/dictionary, set data quality and governance standards, define SLAs for data products, troubleshoot performance issues, and mentor junior analysts.