Product Data Analyst

Your responsibilities:

• Developing and operationalizing key product metrics.

• Analyzing feature adoption, usage patterns, AI Attach Rate, and how interactions are handled: Human, AI Assist, and Orchestrated AI.

• Exploring relational data models, logs, events, and telemetry data.

• Defining telemetry, counting rules, and acceptance criteria for new and evolving product features.

• Collaborating on translating product and analytics needs into DWH requirements, including data sources, models, pipelines, and quality control.

• Building semantic models, reports, and product dashboards in Power BI.

• Combining product data with information on pricing, billing, costs, revenue, churn, and retention.

• Reconciling product data with other business data from financial systems and the CRM.  

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

• Turning analysis results into concrete recommendations on product development, monetization, and customer experience.

What matters to us:

• 2–5 years of experience as a Product Analyst, Data Analyst, BI Analyst, or in a similar role.

• A university degree (statistics, mathematics, economics, computer science, or a related field).

• Advanced knowledge of SQL, Power BI, and Excel; experience integrating data from various sources (e.g. via ODBC or API)

• The ability to define KPIs, product metrics, counting rules, and data acceptance criteria.

• An understanding of data warehouse (DWH) architecture and its role, and the ability to work with technical teams to define requirements for data sources, models, pipelines, and data quality.

• An understanding of the basics of APIs, event-driven architectures, and ETL/ELT processes and data pipelines.

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

• Comfort working with product, technical, and business teams.

• Knowledge of Python for EDA.

• English at a minimum B2 level.

• Nice to have:

• Experience in a B2B SaaS, CCaaS, CX, or CRM environment, or with AI-powered products.

• Knowledge of Salesforce, billing systems, or product analytics tools.

• Experience using GitHub Copilot, coding agents, or other AI tools that support data analysis and coding.

What we can offer you:  

• Salary of PLN 14,000–16,000 net (+ VAT).

• Hybrid work (3 days in the office, 2 days remote) at our office in Warsaw.

• Flexible working hours and the option to work remotely.

• Subsidized medical care and sports card.

• Stable cooperation with an established company with solid investor backing from MCI.

• Work on products and projects in SaaS, telecommunications, data, and AI.

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