Data Analyst: Prospect Solutions (Remote)

About us

Constructor is the only search and product discovery platform tailor-made for enterprise e-commerce where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for e-commerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for e-commerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in e-commerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S.-based company founded in 2015 by Eli Finkelshteyn and Dan McCormick. For more, visit: constructor.io.

We’re a passionate team of technologists who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things.

Challenges you will tackle

• Help Account Executives create better demos for prospective customers and participate in customer discussions and sales processes.
• Collaborate with the Customer Success team to ensure our customers successfully partner with us.
• Take initiative and perform data exploration to understand user behaviour, suggest opportunities for improving our recommendation & search systems, and implement pipelines for data delivery, as well as UX/UI changes.
• Ideate and deliver analytical insights to be utilized by the customer dashboard to enable effective decision-making for customer merchandisers and analysts.
• Analyze current processes to understand how to automate and scale more effectively.

• You are proficient in BI tooling (data analysis, building dashboards for engineers and non-technical folks).
• You are an excellent communicator with the ability to translate business asks into a technical language and vice versa.
• You are comfortable managing multiple tasks simultaneously, effectively prioritizing them, and working under deadlines.
• You are excited to leverage massive amounts of data to drive product innovation & deliver business value.
• You are proficient at SQL (any variant) and well-versed in exploratory data analysis with Python (pandas & NumPy, data visualization libraries). Nice to have: Practical familiarity with the big data stack (Spark, Presto/Athena, Hive).
• You are adept at fast prototyping and providing analytical support for initiatives in the e-commerce space by identifying & focusing on relevant features & metrics.
• You are willing to develop and maintain effective communication tools to report business performance and inform decision-making at a cross-functional level.
• A minimum of three years of professional experience or relevant academic experience.
• Excellent communication and interpersonal skills.
• English on C1 level (CEFR) or higher.
• Able to work between 7 am and 3 pm Pacific Time to support the needs of our US-based sales team.