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Data Analyst: Personalization (Remote)

1 month ago
Anywhere
Full-time
Mid Level
Data Analyst
Data Science and Analytics
Apache Spark Looker Machine Learning NumPy Pandas Python Scikit-learn SQL Tableau Transformers
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Constructor

Constructor

The only site search and product discovery built for ecommerce KPIs. Delivering superior experiences with AI, NLP, data and personalization.

Internet Software & Services
View All Jobs 12

Description

  • Investigate shopper behavior and quantify how product and model changes affect user behavior and conversion metrics.
  • Design, define, and validate new metrics that accurately measure personalization and model performance and align with business outcomes.
  • Analyze complex experiments and A/B tests to extract actionable insights that influence product and ML roadmaps.
  • Develop scalable analytics infrastructure, including dashboards, reporting tools, and debugging tools to explain ranking decisions and surface performance issues.
  • Write and optimize large-scale data extraction and transformation queries and pipelines to support analysis and operational reporting.
  • Partner closely with engineers and product managers to design experiments, validate hypotheses, and translate findings into product or algorithm changes.
  • Build internal tools and automate analysis workflows to increase team productivity and reproducibility of results.
  • Present complex findings clearly to both technical teams and executive stakeholders and use data storytelling to influence decisions.

Requirements

  • 3+ years analyzing complex experiments and extracting actionable insights from large, noisy datasets.
  • Experience with statistical testing and practical experiment/AB test design.
  • Ability to write optimized SQL queries for terabyte-scale data extraction and transformation.
  • Proficiency with distributed systems such as Spark for large-scale data processing.
  • Strong skills in exploratory analysis, building internal tools, and automating analyses.
  • Experience with data science libraries and automation tooling.
  • Understanding of ML pipelines, training data quality, and ranking/recommendation metrics.
  • Familiarity with search relevance and personalization concepts.
  • Experience creating dashboards in Tableau, Looker, or custom dashboards in Python and presenting results to both technical and executive audiences.

Benefits

  • Unlimited vacation time (company encourages taking at least 3 weeks per year).
  • Fully remote team—choose where you live.
  • Work-from-home stipend to set up your home office.
  • Apple laptop provided for new employees.
  • Annual training and development budget for every employee.
  • Maternity and paternity leave for qualified employees.
  • Competitive compensation with base salary range $80,000–$120,000 USD (depending on experience) plus stock options.
  • Regular team offsites to connect and collaborate.

Interested in this position?

Apply directly on the company website

Apply Now

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