Data Analytics
Role details
Job location
Tech stack
Job description
We are looking for a hybrid profile (Analytics + BI) to work closely with IT, Media, and Marketing teams.
Your mission will be to support tagging implementation and reporting automation, helping transform data into business decisions., * Support measurement plans, helping translate KPIs into events and tracking requirements.
- Help configure and manage CMPs and privacy checks to ensure compliance (GDPR, Consent Mode).
- Implement and maintain analytics and media tags (with senior support): review triggers/variables/events and perform QA in PRE/UAT/PRO environments.
- Ensure data quality through debugging, comparisons, and gap tracking.
- Collaborate with Media and CRM teams to align measurement with campaigns, audiences, and activations.
- Support reporting and dashboards (automation and maintenance): Looker Studio / Power BI (depending on the project).
- Assist with integration and automation tasks between platforms (connectors, feeds, uploads, etc.).
- Support operational media/trafficking tasks when applicable (e.g., Campaign Manager / DV360).
- Demonstrate self-learning capability: curiosity and autonomy to explore new tool features and propose improvements.
Valued tools and skills
- GMP & Cloud: GA4, GTM, BigQuery, Looker Studio, Google Sheets.
- CMP & Privacy: OneTrust, Usercentrics, Didomi, Consent Mode.
- Microsoft: Excel, PowerPoint, Power BI.
- Connectors & automation: Supermetrics, Make, Zapier, Apps Script, n8n.
- Applied AI: ChatGPT, Gemini (to speed up documentation, QA, exploratory analysis, etc.).
Nice to have
- Data stack: basic knowledge of SQL, Python, BigQuery.
- Mobile: MMPs (AppsFlyer, Branch) and/or Firebase.
- Advanced tracking: server-side tagging.
- Languages: ability to communicate in English (no certificate required, but valued).
- Media &trafficking: DV360, Campaign Manager.
What do we offer you?
- Projects with major national and international brands.
- A data-driven environment where analytics, BI, media, and technology work in an integrated way.
- Flexibility and a hybrid work model.
- A team culture based on collaboration, autonomy, and continuous learning.
- Active participation in the evolution of our services toward more intelligent, automated, and differentiated models, with AI applied to business.
Requirements
Candidates should possess a strong analytical mindset, familiarity with GA4, and a desire to learn in a collaborative, data-driven environment. We emphasize teamwork and continuous learning within a diverse and inclusive space., * Minimum 6 months experience in Digital Analytics/Data/BI.
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Basic knowledge of measurement plans and tagging orchestration.
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Familiar with tracking concepts like events and conversions., Analytical mindset Communication with Marketing/IT Documentation skills Data quality control, We're looking for someone with an analytical mindset, a technical foundation, an agency-style attitude, and above all a strong desire to learn new tools and grow in an environment where analytics, privacy, media, and data visualization all come together. What do we value?
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6 months to 2 years of experience (internships + first job count) in Digital Analytics / Data / BI.
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Basic knowledge of measurement plans (KPIs * events) and tagging orchestration.
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Familiarity with GA4 and tracking concepts (events, parameters, conversions, UTMs).
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Ability to work with Marketing / Media / IT teams and communicate effectively.
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Strong organization and methodology: documentation, QA, data quality control, and issue tracking.