Data Analyst

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Data Analyst transforming privacy-first SaaS warehouse data into commercial and product insights. Building dashboards, guiding decisions, and owning long-term analytics development.

Posted 8/11/2026full-timeRemote • 🇵🇱 PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL and data analysis, with proficiency in BI tools for creating actionable insights and visualizations. Capable of translating complex data findings into business recommendations while collaborating effectively with both technical and non-technical stakeholders.

Highest-signal resume keywords

Strong SQL ExperienceData AnalysisBI Tool ProficiencyData Transformation PipelinesCommercial/SaaS Data Domain Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData AnalysisPythonData TransformationData ModellingData Warehouse DesignDashboardingData VisualizationCRM EnrichmentSource Integration

Soft Skills

Strong Communication SkillsStakeholder Influence

Tools & Technologies

Google Looker StudioData StudioDbtDataformStripeE-conomicHubSpot

Industry Keywords

Commercial DataSaaSSubscriptionsInvoicingMRRARRChurnRetentionPartner AttributionMulti-Entity Billing

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Turn data from the central warehouse into actionable insights guiding commercial and product decisions
Work closely with the Data Engineering team on technical delivery
Collaborate with business stakeholders to define requirements and drive adoption
Take permanent internal ownership of the Data Project and lead its long-term development
Promote best practices in data usage and quality awareness across the organization
Build and maintain dashboards and reporting for revenue, consent volumes, cross-product usage, cohorts, and conversions
Prepare and present regular business reviews to managers and C-level stakeholders
Specify source-integration and CRM-enrichment requirements
Validate that data reflects real product and billing status
Translate between Data Engineering and business stakeholders across Finance, Product, Sales, Account Management, Customer Success, Support, and Partnerships

Requirements

What you’ll need

Strong SQL and hands-on data analysis experience
Comfortable working directly in a data warehouse environment
Proficiency with a BI/dashboarding tool such as Google Looker Studio/Data Studio or equivalent
Ability to build clear, decision-oriented visualisations
Working knowledge of Python for data manipulation and analysis
Ability to translate business questions into data work and findings into business recommendations
Practical experience building and maintaining data transformation pipelines using dbt or similar tools such as Dataform
Experience with commercial/SaaS data domains, including subscriptions, invoicing, MRR/ARR, churn, and retention
Strong communication skills and ability to present to and influence senior, non-technical stakeholders
Fluent command of English, written and spoken, at C1 level
Familiarity with Stripe, E-conomic, HubSpot, CMP product data, warehouse, and pipeline tooling
Exposure to data modelling and warehouse design principles
Experience operating between engineering and commercial teams in a scale-up environment
Understanding of partner/channel attribution and multi-entity billing

Benefits

Comp & perks

Professional development budget
Health insurance
Other benefits
Positive, informal workplace
Opportunity to influence key business decisions, including financial priorities and the product roadmap
Autonomy to shape the role and proactively identify areas where data can deliver the greatest value
Highly collaborative role as a trusted data partner to teams across the business