Senior Data Analyst

🔥 38 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Constructor

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

☁️ SaaS

🤖 Artificial Intelligence

🛍️ eCommerce

💰 $25M Series B - Constructor on 2024-06

SaaS • Artificial Intelligence • eCommerce

Constructor is an AI-native, API-first platform that provides product search and discovery solutions optimized for e-commerce. The company offers a commerce reasoning engine and a suite of features — search, autosuggest, personalized recommendations, AI shopping agents, attribute enrichment, retail media, and cross-channel discovery — to help retailers and enterprises deliver personalized discovery experiences across onsite and offsite touchpoints. Constructor positions itself as a specialist in product discovery for both B2C and B2B retail, integrating with existing tech stacks and emphasizing transparent, explainable AI for merchandising and conversion optimization.

📋 Description

• Analyze user behavior and large-scale datasets to identify patterns, issues, and opportunities for improvement • Design, run, and analyze A/B tests to evaluate product changes and measure impact on key business metrics • Define and validate metrics that reflect both user experience and business outcomes • Build dashboards, reports, and data tools to support decision-making across teams • Partner with customers, engineering, product, and business teams to translate insights into product improvements • Work with SQL, Python, and distributed data systems to process and analyze large volumes of data

🎯 Requirements

• Strong analytical skills and experience solving business problems using data • Solid knowledge of SQL and experience working with large datasets • Experience with Python for data analysis (pandas, NumPy, visualization libraries) • Understanding of A/B testing and statistical concepts • Understanding of machine learning pipelines, training data quality, and model evaluation • Familiarity with ranking, recommendations, or search relevance is a plus • Experience defining metrics, building metric trees, and analyzing product funnels • Ability to communicate insights clearly and translate business needs into analytical solutions • Comfortable working with multiple stakeholders in a fast-paced environment • Experience in a customer-facing role • Experience working in e-commerce or product analytics

🏖️ Benefits

• 🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact. • 🎉 Regular team offsite events to connect and collaborate. • 🌎 Fully remote team - choose where you live. • 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year. • 🛋️ 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. • 👪 Maternity & Paternity leave for qualified employees. • 💵 Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results • 📈 Stock options - offered in addition to the base salary