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About Constructor
Constructor is a fast-growing U.S.-based technology company that builds next-generation search and discovery solutions for e-commerce businesses. Our platform helps online stores increase revenue, conversion rate, and profit by showing shoppers the most relevant products at the right time.
What makes Constructor different?
We don’t rely on third-party tools. Our search engine is built completely in-house, using advanced AI, transformers, and large language models (LLMs). This allows us to create smarter search results, better product recommendations, and intelligent shopping agents that truly understand user intent.
Our technology handles over 1 billion searches every day, supports 150+ languages, and serves customers in 100+ countries. Some of the world’s most recognized brands—Sephora, Under Armour, and Petco—trust Constructor to power their e-commerce search and recommendations.
Founded in 2019 by Eli Finkelshteyn and Dan McCormick, Constructor is still led by its founders and continues to grow rapidly. Engineering is our largest team, and we are deeply focused on innovation, performance, and measurable results.
We believe in empathy, curiosity, openness, teamwork, and continuous improvement. Our goal is simple: build great products while making work enjoyable and meaningful for everyone.
About the Role
We are looking for a Data Analyst / Business Intelligence Specialist who enjoys working with data, building dashboards, and helping teams make better decisions.
In this role, you will work closely with Account Executives, Frontend Engineers, and AI teams to support sales demos, improve product performance, and fine-tune AI models for e-commerce clients. Your work will directly help close deals with major brands and improve how millions of people shop online.
This is a fully remote position, but you must be available to work 7:00 AM – 3:00 PM Pacific Time to support our U.S.-based sales team.
Key Responsibilities
1. Build Analytical Tools & Dashboards
You will design and maintain dashboards, reports, and analytical tools that help Account Executives create powerful product demos for potential customers. These tools should be easy to understand for both technical and non-technical users.
2. Support AI Model Tuning
You will work closely with sales and engineering teams to fine-tune AI models for each prospect’s unique needs. This ensures search and recommendation results are highly relevant and impressive during demos.
3. Help Close Enterprise Deals
You will collaborate with Frontend Engineers and Account Executives to support sales conversations and help secure partnerships with leading e-commerce brands.
4. Explore Data & Improve the Product
You will analyze large datasets to understand user behavior, identify patterns, and suggest improvements to our search and recommendation systems. Your insights will directly influence product decisions.
5. Communicate Insights Clearly
You will create reports and visualizations that clearly explain performance, trends, and opportunities. Your work will help teams across the company make data-driven decisions.
6. Be a Team Culture Champion
Beyond technical work, you’ll help build a positive team environment—whether that’s organizing Friday games, supporting teammates, or encouraging learning and growth.
Required Skills & Qualifications
We are looking for someone who is curious, organized, and comfortable working with data at scale.
Must-Have Skills
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Strong experience with BI tools and data analysis
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Ability to build dashboards for both technical and non-technical users
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Excellent communication skills, able to translate business needs into technical solutions
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Strong SQL skills (any variant)
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Hands-on experience with Python for data analysis (pandas, NumPy)
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Experience with data visualization libraries
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Comfortable working with large datasets
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Ability to manage multiple tasks and meet deadlines
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Experience in fast prototyping and analytical support, especially in e-commerce
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Willingness to maintain clear reporting tools for business performance
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Minimum 3 years of professional or relevant academic experience
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English proficiency at C1 level or higher
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Availability to work 7 AM – 3 PM Pacific Time
Nice to Have
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Experience with big data tools such as Spark, Presto/Athena, or Hive
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Background in e-commerce analytics
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Experience working with AI or machine learning teams
Salary & Compensation
This position offers a base salary between $80,000 and $120,000 USD per year.
Final compensation depends on:
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Skills
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Experience
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Job-related knowledge
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Interview performance
In addition, you’ll enjoy company-wide benefits and regular team offsites to connect and collaborate.
Ready to Apply?
If you love working with data, enjoy solving real business problems, and want to be part of a cutting-edge AI company shaping the future of e-commerce, Constructor is the place for you.
