Data Analyst

Summary

Join Constructor's Marketing Data Storytelling program as a Data Analyst and collaborate with marketers, data scientists, and engineers. You will analyze large datasets to identify key trends and benchmarks in ecommerce, translate findings into engaging reports and blog posts, and develop compelling data-driven narratives. The role requires proficiency in SQL and Python, experience with BI tools, and excellent communication skills. Constructor offers a competitive compensation package, unlimited vacation time, a remote-first work environment, and various employee benefits.

Requirements

• Have a strong ability to analyze and interpret large datasets, uncovering meaningful trends and insights
• Be proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization
• Have experience with BI tools (e.g., Looker, Tableau, Google Data Studio) to create compelling visual representations of data
• Have excellent communication skills, with the ability to translate complex data insights into clear and engaging narratives for both technical and non-technical audiences
• Be familiar with statistics, A/B testing, and data storytelling principles
• Be proactive and thrive in a fast-paced, remote-first environment

Responsibilities

• 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

Preferred Qualifications

• Have a strong understanding of the ecommerce space, including search, personalization, and merchandising trends
• Have practical familiarity with the big data stack (Spark, Presto/Athena, Hive)

Benefits

• Unlimited vacation time -we strongly encourage all of our employees 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