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Constructor

SaaS search and product discovery platform

Senior Product Analyst

Data AnalysisConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Strong track record of solving product and business problems using data.
  • Solid knowledge of SQL and experience working with large datasets.
  • Experience with Python for data analysis, including pandas, NumPy, and visualization libraries.
  • Deep understanding of A/B testing and statistical concepts.
  • Experience defining metrics, building metric trees, and analyzing product funnels.
  • Ability to connect product changes to business outcomes and communicate the implications.
  • Proven ability to work independently and own an analytics area end to end.
  • Ability to communicate insights clearly and influence product strategy.
  • Comfort working with ambiguous questions in a fast-paced environment.

Responsibilities

  • Define and validate the metrics that product teams use to measure success.
  • Build metric frameworks connecting product and algorithm performance to business outcomes such as revenue and conversion.
  • Analyze user behavior and product funnels to identify opportunities and guide product strategy.
  • Design, run, and analyze A/B tests to evaluate product changes.
  • Set up analytics for product areas, from instrumentation through dashboards and reporting.
  • Partner with product managers, engineers, and leadership to turn insights into decisions.

Desired Qualifications

  • Familiarity with ML-driven or AI products.
  • Experience working in e-commerce.
  • Experience being the first or primary analyst embedded in a product team.

About the Company

Constructor

SaaS search and product discovery platform

Constructor.io provides a SaaS search and product discovery platform for ecommerce. It helps large ecommerce brands personalize online experiences and improve key metrics by using customer clickstream data and transformer-based machine learning models to understand and predict user behavior. The platform is API-first, headless, and composable, so it can plug into a company’s existing systems and workflows. It is designed to reduce manual merchandising tasks and empower ecommerce teams to act more strategically and quickly. Unlike many competitors, it emphasizes enterprise-grade integration, strong customer success through dedicated managers, training, performance reviews, and live support, and a subscription-based model that ensures ongoing support and updates. The goal is to help clients optimize digital merchandising, personalize customer experiences, and boost business KPIs such as conversion, revenue, and efficiency.

Company size
1,001-5,000
Company stage
Series B
Total funding
$86.1M
Headquarters
San Francisco, CA
Founded
2015

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