Product Analyst

Xebia Group; Amsterdam; On-site; EUR 60,000 - 90,000; Full time

Job summary

Xebia Group is seeking a Product Analyst to turn user behavior into product decisions. You will join the Product Analytics team, collaborating with product managers, UX designers, and developers to answer questions with data, ML, modeling, and experiments.

You will lead descriptive/diagnostic analyses, build reports and dashboards, apply advanced analytics for segmentation, and drive experiments and tagging plans to measure impact across the site and campaigns.

Qualifications

• 5+ years of analytics or data science experience.
• Experience working closely with multidisciplinary product teams in a digital environment.
• Strong SQL skills and experience with large datasets.
• Knowledge of Python or R.
• Hands-on experience with A/B testing and a solid understanding of statistical and causal analysis.
• Experience with tracking SEO share-of-voice by brand/model.
• Curious about user behavior, with initiative and drive, and energized by data–product–tech interaction.
• Excellent written and verbal communication: explain complex findings clearly.

Responsibilities

• Uncover user and customer insights through descriptive and diagnostic analysis.
• Identify trends and patterns, and turn them into reports and dashboards that support business decisions and strategic planning.
• Apply advanced analytics to improve predictive capability and user segmentation.
• Lead A/B testing and other experiments, applying the scientific method and performing deep-dive analyses.
• Define tagging plans and measure the impact of the site, campaigns, and user behavior with Product, UX, and Marketing.
• Strengthen the data-driven culture within the product teams.
• Track SEO share-of-voice by brand/model; build dashboards on inventory depth vs ranking and evaluate SEO experiments.

Skills

SQL

Python

A/B testing

Data visualization

Statistical analysis

Tools

R

Job description

PRODUCT ANALYST

Are you a data expert who loves turning user behavior into product decisions? Join the Product Analytics team of a leading online company, where you help millions of buyers and sellers trust each other and find what they need faster.

Analysts here work inside multidisciplinary product teams alongside product managers, UX designers, and developers. You'll formulate the right questions and answer them with data analysis, machine learning, modeling, and continuous experimentation.

What you'll do

• Uncover user and customer insights through descriptive and diagnostic analysis
• Identify and interpret trends and patterns, and turn them into reports and dashboards that support business decisions and strategic planning
• Apply advanced analytics to improve predictive capability and user segmentation
• Lead A/B testing and other experiments, applying the scientific method and performing deep-dive analyses
• Define tagging plans and measure the impact of the site, campaigns, and user behavior together with Product, UX, and Marketing
• Strengthen the data-driven culture within the product teams
• Track SEO share-of-voice by brand/model. Building dashboards on inventory depth vs ranking. Designs and evaluate SEO experiments indexing thresholds, pagination logic, etc

Tech stack

• SQL and large datasets
• Python or R
• A/B testing, experimentation, and statistical and causal analysis
• Digital analytics and data visualization (dashboards)

Requirements

This is you

• 5+ years of experience in analytics or data science
• Experience working closely with multidisciplinary product teams in a digital environment (e-commerce or similar is a plus)
• Strong SQL skills and experience with large datasets
• Knowledge of Python or R
• Hands-on experience with A/B testing and a solid understanding of statistical and causal analysis
• Experience with tracking SEO share-of-voice by brand/model
• Curious about user behavior, with initiative and drive, and energized by the interplay of data, product, and tech
• Excellent written and verbal communication: you can explain complex findings clearly and concisely