Data Analyst

This is a fully remote position, open to applicants in Poland.

📋 Description

• Transform data from the central warehouse into actionable insights that inform commercial and product decisions.

• Collaborate closely with the Data Engineering team to ensure successful technical delivery.

• Partner with business stakeholders to define requirements and promote adoption.

• Assume permanent internal ownership of the Data Project and guide its long-term growth.

• Advocate for best practices in data usage and raise awareness of quality across the organization.

• Develop and maintain dashboards and reports related to revenue, consent volumes, cross-product usage, cohorts, and conversions.

• Prepare and deliver regular business reviews to managers and C-level executives.

• Define source-integration and CRM-enrichment requirements.

• Ensure that data accurately reflects the actual product and billing status.

• Act as a liaison between Data Engineering and business stakeholders across Finance, Product, Sales, Account Management, Customer Success, Support, and Partnerships.

⛳️ Requirements

• Strong expertise in SQL and hands-on experience with data analysis.

• Comfortable working directly within a data warehouse environment.

• Proficient in using a BI/dashboarding tool such as Google Looker Studio/Data Studio or a comparable tool.

• Capable of creating clear, decision-oriented visualizations.

• Knowledge of Python for data manipulation and analysis.

• Ability to convert business inquiries into data tasks and translate findings into business insights.

• Practical experience in building and maintaining data transformation pipelines using dbt or similar tools like Dataform.

• Familiarity with commercial/SaaS data domains, including subscriptions, invoicing, MRR/ARR, churn, and retention.

• Excellent communication skills with the ability to present to and influence senior, non-technical stakeholders.

• Fluent in English, both written and spoken, at a C1 level.

• Knowledge of Stripe, E-conomic, HubSpot, as well as CMP product data, warehouse, and pipeline tools.

• Understanding of data modeling and warehouse design principles.

• Experience working at the intersection of engineering and commercial teams in a scale-up environment.

• Awareness of partner/channel attribution and multi-entity billing.

🏝️ Benefits

• Professional development budget.

• Health insurance.

• Additional benefits.

• A positive, informal workplace.

• Opportunity to influence crucial business decisions, including financial priorities and the product roadmap.

• Autonomy to shape the role and proactively identify areas where data can add the most value.

• A highly collaborative role as a trusted data partner to teams across the business.