Data Analyst: Attribute Enrichment (Remote)

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.

Attribute Enrichment team

As a Data Analyst in the Attribute Enrichment team, you will play a pivotal role in leveraging big data to enhance product attributes and improve customer experience through insightful data analysis and collaboration. Your focus will be on understanding AB Tests, doing exploratory data analysis, optimizing data delivery pipelines using Python and SQL, and providing actionable insights to merchandizers.

You will collaborate closely with ML engineers to help the team find ways to optimize key performance metrics. As a member of the Attribute Enrichment team, your analytical expertise and collaborative efforts will directly impact the quality and performance of our solutions, driving customer satisfaction and engagement. This role is essential to making data-driven decisions and ensuring our products meet the highest standards.

• Challenges you will tackle
• Perform data exploration on e-commerce traffic using Python and SQL to understand user behavior, suggest opportunities to improve our Attribute Enrichment solutions, and implement pipelines for data delivery.
• Formulate hypotheses and select appropriate metrics for AB testing, in order to gather insights and make data-driven decisions.
• Ideate and deliver analytical insights to merchandizers to enable effective decision-making and provide the best possible results during evaluation.
• Conduct website analysis for potential new customers to identify opportunities for the Attribute Enrichment team.
• Evaluate the current customer's catalog, focusing on identifying and rectifying inaccuracies and redundancies in annotations.
• Help the Customer Success team communicate with merchandizers, fulfill their needs during integration, and provide the best results for online metrics.
• Collaborate with the Customer Integrations team to make sure customers are 
• integrated without bugs and with sufficient tracking to power data pipelines and models.

• Required Stack: python, SQL, BI tools, excel, google analytics.
• You are proficient both at SQL (any variant) and in exploratory data analysis with Python (standard library, pandas & numpy, data visualization libraries).
• You are willing to write high-quality Python code to optimize data delivery pipelines, develop and maintain effective analytical tools to provide actionable insights to merchandisers.
• You are proficient in using math & statistics
• You have experience with conducting A/B-tests
• You are an excellent communicator with the ability to translate business matters into a technical language and vice versa.
• You are proficient in BI tools (data analysis, building dashboards for engineers and non-technical folks).
• You are excited to write pipelines with Python. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive).