Data Analyst

1stDibs • Consumer Goods • Jewelry • Python • SQL • A/B Testing • 13 days ago
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Salary
$92k – $115k per year
Location
In office (New York)
Seniority
Junior · 2+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Aug 27, 2026.

Overview
Company
Impact
Profile match

1stDibs

1stDibs is a New York marketplace company founded in 2000 that sells rare design, furniture, art and jewellery online. Its platform vets sellers and handles authentication, logistics and payments for pieces that used to trade only through dealers and fairs. The company is listed on Nasdaq and connects buyers with thousands of international dealers.
1stdibs.com • HQ: New York, United States • Jewelry • Furniture • Consumer Goods • Marketplaces • Est. 2000
Backed by Insight Partners, Index Ventures, Glynn Capital

Join our team as a Data Analyst and be a key player in shaping our data-driven future. You will analyze trends, design scalable dashboards, streamline data collection, and collaborate on A/B tests. A degree in a quantitative field and 2+ years of experience in data or product analytics are required. Proficiency in SQL is a must, and familiarity with Python or dbt is a plus.

Missions

  • Collaborer avec des équipes interfonctionnelles pour identifier les tendances et guider la stratégie commerciale mondiale.
  • Concevoir des tableaux de bord évolutifs et autonomes qui aident les collègues à prendre des décisions plus rapides et plus intelligentes.
  • Diriger les efforts pour rationaliser la collecte de données et traduire les besoins commerciaux complexes en produits de données clairs.

Profil recherché

- Strategic Mindset: An ability to see both the granular details and the "big picture" of a luxury marketplace

- Authorization: Must be authorized to work in the United States; employer sponsorship is not available. We are not sponsoring H-1B, OPTs, or other visa categories for this role

- Education: A degree in a quantitative field (Statistics, Math, Econ, Business) or equivalent practical experience

- Collaborative Spirit: You thrive when succeeding together and can succinctly exchange ideas with both technical and non-technical stakeholders

- Experience: 2+ years in data or product analytics

- Technical Toolkit: Proficiency in SQL is required

- Familiarity with Python or dbt is a plus; we value your ability to listen and learn new tools

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