Product Analyst, Consumer Analytics — Hybrid & Growth

Allegro Ltd.; Polska; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Flexible hours

Hybrid work model

Annual bonus

Well-equipped offices

Modern equipment

Fringe benefits plan

English classes

Training budget

Volunteer day

Social events

Job summary

Allegro Ltd. is seeking a Product Analyst/Data Analyst to shape product strategies through deep data insights. You will work with large datasets, run diverse analyses, and craft clear recommendations for stakeholders across the business.

The role requires SQL proficiency, Python basics, and the ability to build dashboards (Looker Studio). A hybrid work model with generous benefits awaits, including a bonus and flexible scheduling.

Qualifications

• Experience as Product Analyst or Data Analyst or similar.
• Proficiency in SQL.
• Basic Python for automating analyses and data processing.
• Ability to collaborate with many stakeholders and communicate clearly.
• Experience with various analyses: cohort, trend, path, attribution, retention, clickstream, A/B testing.

Responsibilities

• Analyze large datasets to identify patterns affecting key business areas.
• Demonstrate how user behavior shapes product direction.
• Contribute to business solutions with data-driven recommendations.
• Present insights to guide improvements in Allegro’s shopping experience.

Skills

Data analysis

SQL proficiency

Python basics

Stakeholder communication

Cohort analysis

Trend analysis

A/B testing

Hypothesis formulation

Large dataset analysis

Tools

Looker Studio

Excel

Python

Job description

Allegro Ltd. is seeking a Product Analyst/Data Analyst to shape product strategies through deep data insights. You will work with large datasets, run diverse analyses, and craft clear recommendations for stakeholders across the business.

The role requires SQL proficiency, Python basics, and the ability to build dashboards (Looker Studio). A hybrid work model with generous benefits awaits, including a bonus and flexible scheduling.