Data Analyst

Data Analyst: A/B-tests and customer onboarding (Remote)

Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents.

Engineering is by far our largest department, and we've built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries.

We're a passionate team 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 do best can lead to great things.

About the Data Science Integrations team

Providing measurable KPI lifts is the goal of our platform, and most customers want to prove it running an A/B-test against either an in-house solution or one of our competitors. The Data Science Integrations team ensures that we run successful A/B tests at scale while minimizing manual engineering effort.

The team owns the customer onboarding process from a data quality standpoint, verifies the quality of customer integrations and tracking, and ensures that Constructor algorithms work as expected when ramping out tests to live customers. As a member of the Data Science Integrations team, you will use world-class analytical, engineering and data processing techniques to build the foundational infrastructure, tooling and analytical capabilities to enable the business to move forward.

Challenges you will tackle

• Take initiative and perform data exploration to understand user behavior, suggest opportunities for improving our recommender & search systems, and implement pipelines for data delivery, as well as UX/UI changes
• Ideate and deliver analytical insights to merchandizers to enable effective decision making and provide the best possible results during evaluation
• Help the Customer Success team to communicate with merchandizers, fulfill their needs during integration, and provide 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 for search engine

Requirements

• You are proficient in BI tools (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 excited to leverage massive amounts of data to drive product innovation & deliver business value
• You're familiar with math statistics (A/B-tests)
• You are proficient at SQL (any variant), well-versed in exploratory data analysis with Python (pandas & numpy, data visualization libraries)
• 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

Benefits

• Unlimited vacation time
• Fully remote team
• Work from home stipend
• Apple laptops provided for new employees
• Training and development budget for every employee
• Maternity & Paternity leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact
• Base salary range between $80k and $120k USD
• Regular team offsites to connect and collaborate

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.

#J-18808-Ljbffr

---