Senior Product Analytics Consultant: Data-Driven Decisions

Profitroom; Poland; On-site; PLN 145,000 - 282,000; Full time

Benefits offered by this job

Remote-first model

Flexible setup

Growth & collaboration

Job summary

Profitroom is a hospitality tech company seeking a Mid/Senior Product Analytics Consultant to turn product data into insights and decisions. You’ll partner with the Product Director, Product Managers and Data Team to understand user behavior and how changes impact metrics.

This remote-first role focuses on metrics definition, experimentation, data quality and analytical ownership, collaborating with Product, UX and Engineering to drive product strategy.

Qualifications

• 3+ years in product or data analytics, preferably SaaS.
• Strong SQL skills and experience with BI tools.
• Ability to translate data into actionable product recommendations.
• Experience defining metrics and running experiments.
• Solid understanding of statistics and data-driven decisions.
• Basic Python knowledge; PySpark is a plus.
• Excellent communication to stakeholders.

Responsibilities

• Define meaningful product metrics and translate data into recommendations.
• Use SQL, Python and BI tools to turn data into insights for decisions.
• Design and evaluate experiments with statistical methods.
• Own key analyses and initiatives influencing product strategy.
• Ensure reliable tracking and data modelling with engineers.
• Collaborate cross-functionally with Product, UX and Engineering.

Skills

Advanced SQL

Python

Product analytics mindset

Statistics

Business communication

AI mindset

Polish language

English language

Git/GitLab

PySpark

Tools

Power BI

Tableau

Looker/Data Studio

Git/GitLab

PySpark

Job description

Profitroom is a hospitality tech company seeking a Mid/Senior Product Analytics Consultant to turn product data into insights and decisions. You’ll partner with the Product Director, Product Managers and Data Team to understand user behavior and how changes impact metrics.

This remote-first role focuses on metrics definition, experimentation, data quality and analytical ownership, collaborating with Product, UX and Engineering to drive product strategy.