Data Analyst: Retail Media (Remote)

Overview

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 in-house search engine uses transformers and generative LLMs to power search, recommendations, and shopping agents. Engineering is our largest department, and we have built a proprietary engine that has never lost an AB test to a competitive technology. We are committed to the bleeding edge of AI and to making our customers’ and coworkers’ lives better.

Out of necessity, our engine scales to over 1 billion queries daily across 150 languages and about 100 countries. It is used by ecommerce leaders such as Sephora, Under Armour, and Petco. We value empathy, openness, curiosity, continuous improvement, and metrics that matter, and we aim to empower everyone in the company to do what they do best.

Constructor is a U.S.-based company founded in 2019 by Eli Finkelshteyn and Dan McCormick, who continue to lead the company.

The Team

The Sponsored Listings team builds a platform connecting ecommerce retailers and brands. Retail media enables brands to buy placements within our customers’ search, browse, recommendations, collections, or quiz results. The platform integrates with online retailers, offering advanced targeting, bidding, and analytics to enhance ad visibility and performance. We are a cross-functional team of engineers who value openness, curiosity and great code, and we empower teams to make decisions that drive impact.

Role and Responsibilities

• Research product hypotheses to optimize main platform metrics for retailers and advertisers (e.g., ROAS, ad spend, churn rate).
• Collaborate with product managers and engineers to scope the most important insights and platform improvements.
• Partner with technical and non-technical stakeholders to develop and update functionalities.
• Communicate findings and recommendations to stakeholders inside and outside the team.
• Own the results and business metrics for advertisers and retailers.
• Participate in late-stage sales processes and build demos for prospective customers.
• Proficient in BI tools for data analysis and dashboards for engineers and non-technical audiences.
• Translate business needs into technical requirements and explain technical concepts to non-technical stakeholders.
• Leverage massive data to drive product innovation and deliver business value.
• Proficient in SQL (any variant) with Python (pandas, numpy) for exploratory data analysis; familiarity with the big data stack (Spark, Presto/Athena, Hive) is a plus.
• Provide fast analytical support for e-commerce initiatives by identifying relevant features and metrics.
• Develop and maintain effective communication tools to report performance across functions.
• AdTech industry experience is a plus; strong analytical reasoning and openness to others’ viewpoints.
• Stack: Spark SQL, Python (notebooks), Databricks, Redash/Metabase, PySpark.

Qualifications and Requirements

• Experience in data analysis for product-focused decisions in ecommerce or ad tech.
• Strong SQL skills and Python for data analysis; experience with visualization and dashboards.
• Ability to work cross-functionally with product, engineering, and business partners.
• Excellent communication skills and the ability to translate business needs into technical terms.
• Willingness to explore large datasets and derive actionable insights to influence product strategy.
• Knowledge of big data tools is advantageous.

Benefits

• Unlimited vacation time; encouraged to take at least 3 weeks per year.
• Fully remote team; choose where you live.
• Work-from-home stipend and Apple laptop provided for new employees.
• Training and development budget annually.
• Maternity and paternity leave for qualified employees.
• Competitive base salary range: $80k–$120k USD, with variation based on skills, experience, and interview outcomes.
• Regular team offsites to connect and collaborate.

Diversity, Equity, and Inclusion

Constructor is committed to a diverse, equitable, and inclusive work environment. We are an equal opportunity employer and welcome applicants from all backgrounds. We provide equal opportunities regardless of education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic. We encourage applicants even if they do not meet every listed qualification.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Data / Analytics

Industries: IT Services and IT Consulting

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