Product Data Analyst

Quick Facts

• Role: Product Data Analyst

Description

You will work on product analytics, analyzing product usage and feature adoption, and linking product data with costs, revenue, and customer retention. You will collaborate closely with Product and Tech to translate product questions into metrics, data requirements, and insights. You will also build semantic models and Power BI dashboards and align product data with finance and CRM sources.

Responsibilities

• Develop and operationalize key product metrics

• Analyze feature adoption, usage patterns, AI Attach Rate, and interaction modes (Human, AI Assist, Orchestrated AI)

• Explore relational data models, logs, events, and telemetry data

• Define telemetry, counting rules, and acceptance criteria for new and improved product features

• Translate product and analytics needs into DWH requirements (data sources, models, pipelines, data quality)

• Build semantic models, reports, and product dashboards in Power BI

• Combine product data with pricing, billing, costs, revenue, churn, and retention data

• Ensure data consistency between product data and other business data from financial systems and CRM

• Work with Product and Tech to define data requirements within PLM and SDLC

• Turn analytical findings into recommendations for product development, monetization, and customer experience

Requirements

• Bachelor’s degree in statistics, mathematics, economics, computer science, or a related field

• 2–5 years of experience as Product Analyst, Data Analyst, BI Analyst, or similar

• Advanced SQL, Power BI, and Excel

• Experience integrating data from multiple sources (e.g., via ODBC and/or API)

• Ability to define KPIs/product metrics, counting rules, and data acceptance criteria

• Understanding of DWH architecture and ability to collaborate with technical teams on data source/model/pipeline and data-quality requirements

• Understanding of APIs, event-driven architecture, and ETL/ELT pipelines

• Ability to analyze operational and usage data for SaaS/AI (e.g., sales funnel, churn prediction, customer segmentation, usage patterns)

• English proficiency at least B2

• Python knowledge for EDA

Benefits

• Hybrid work model (3 days in the office, 2 days remote) in Warsaw

• Flexible working hours and remote work option

• Medical care co-financing and sports card

• Stable collaboration with a well-established company with solid investor support

• Work on SaaS, telecom, data, and AI products/projects