Data Analyst

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Cookie Information

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2011

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Cookie Information is an EU-based consent management platform (CMP) and SaaS provider that helps websites and mobile apps stay privacy-compliant while recovering privacy-friendly analytics. The company offers customizable cookie banners, mobile SDK consent banners, CMS plugins, automated compliance scans, and native Google Consent Mode v2 integration to enable attribution and anonymous tracking even when cookies are declined. Hosted on EU servers and designed for GDPR/CCPA and WCAG 2. 2 compliance, Cookie Information targets data-driven organizations and marketing teams that need both legal consent management and reliable analytics without sacrificing user privacy.

📋 Description

• 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

• 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

• 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