Data Analyst: Retail Media - Constructor

About Us

Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, powering over 1 billion queries every day across 150 languages and roughly 100 countries for top global retailers like Sephora, Under Armour, and Petco.

We are a US-based, remote-first company founded in 2019. We value empathy, openness, curiosity, continuous improvement, and metrics that matter.

About the Team

The Retail Media team is building a platform connecting ecommerce retailers and brands. Retail media allows brands to buy placements within customer search, browse, recommendations, collections, or quiz results with advanced targeting, bidding, and analytics capabilities.

We are seeking a Senior Data Analyst to help us make data-driven product decisions, optimize customer and advertiser metrics, and scale the product. You will work in a cross-functional team across Backend, Frontend, and Data Engineering.

Key Responsibilities

• Research product hypotheses to optimize main platform metrics for retailers and advertisers (ROAS, Ad spend, Churn Rate, etc.).
• Work with PMs and Engineers to scope key insights and platform improvements.
• Collaborate with technical and non-technical business partners to develop and update functionality.
• Communicate effectively with internal and external stakeholders.
• Own business metrics and results for advertisers and retailers.
• Participate in late-stage sales processes and build demos for prospective customers.

Requirements

• Proficiency in BI Tools: Demonstrated ability in data analysis and building dashboards for engineering and business audiences.
• Technical Skills: Proficient in SQL (any variant) and exploratory data analysis with Python (pandas, numpy, data visualization libraries).
• Prototyping & Domain Expertise: Adept at fast prototyping and analytical support in the e-commerce space by identifying and focusing on relevant features and metrics.
• Communication: Excellent communicator capable of translating technical insights into business language and vice versa.
• Tech Stack: Spark SQL, Python (notebooks), Databricks, Redash/Metabase, PySpark.
• Nice to Have: AdTech industry experience and practical familiarity with big data tools (Spark, Presto/Athena, Hive).

Benefits

• 🏝️ Unlimited vacation time (minimum 3 weeks encouraged annually)
• 🌎 Fully remote setup within EMEA
• 🛋️ Work-from-home stipend for home office setup
• 💻 Apple laptop provided
• 🧑‍🎓 Annual training and development budget
• 👪 Paid maternity & paternity leave for qualified employees
• 💵 Base salary: $80,000 – $120,000 USD
• 📈 Stock options provided in addition to base salary
• 🎉 Regular team offsites