Data Analyst Marketing & Data Storytelling (Remote)

About Us
Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick. For more, visit: constructor.com.
Role Overview
As a Data Analyst in this team, you will collaborate with marketers, data scientists, and engineers to derive actionable insights from large datasets and translate them into engaging reports, blog posts, and thought leadership pieces that showcase the impact of Constructor’s technology in the ecommerce space.
Challenges You Will Tackle
Analyze aggregated retailer data to identify key trends and benchmarks in ecommerce search, merchandising, personalization and other aspects of product discovery.
Work with the content team to develop compelling data-driven narratives to support Constructor’s marketing initiatives, including blog posts, white papers, and industry reports.
Work closely with the marketing and content teams to translate analytical findings into accessible and visually appealing data visualizations and insights.
Identify patterns in search and discovery behaviors across industries to help inform retailers and industry professionals.
Develop and maintain dashboards and reports that highlight industry benchmarks and Constructor’s impact.
Partner with internal data science and engineering teams to ensure the accuracy and integrity of the data used for storytelling initiatives.
Requirements
You have a strong ability to analyze and interpret large datasets, uncovering meaningful trends and insights.
You are proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. A big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive).
You have experience with BI tools (e.g., Looker, Tableau, Google Data Studio) to create compelling visual representations of data.
You have excellent communication skills, with the ability to translate complex data insights into clear and engaging narratives for both technical and non-technical audiences.
You are familiar with statistics, A/B testing, and data storytelling principles.
A strong understanding of the ecommerce space, including search, personalization, and merchandising trends is preferred.
You are proactive and thrive in a fast-paced, remote-first environment.
Stack: Athena/Presto, Python (notebooks), Databricks, Google Analytics, BI tools (e.g., Looker, Tableau).
Benefits
Unlimited vacation time - we strongly encourage all of our employees to take at least 3 weeks per year.
A competitive compensation package including stock options.
Fully remote team - choose where you live.
Work from home stipend! We want you to have the resources you need to set up your home office.
Apple laptops provided for new employees.
Training and development budget for every employee, refreshed each year.
Parental leave for qualified employees.
Work with smart people who will help you grow and make a meaningful impact.
Diversity, Equity, and Inclusion at Constructor
At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.

Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.

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