Data Product Analyste — SonarSource (Sonar)
NouveauCHF 60 500 - 91 500
SonarSource (Sonar) · Geneva (GE)
- Lieu
- Geneva
- Contrat
- full-time
- Publié
- Hier
SalaireCHF 60 500 - 91 500
Vue d’ensemble du poste
Who is Sonar?
Sonar is driving the future of agent-centric software development.
As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.
- Who is Sonar?
- Sonar is driving the future of agent-centric software development.
Processus de candidature
- Applications that are submitted through agencies or third party recruiters will not be considered.
Contacts
- If you need any accommodation, please reach out to us at [email protected] .
- All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.
- We do not currently support visa candidates in the US.
Détails supplémentaires
- Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE:
- If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you. Position description
- Depending on the need, your impact ranges from empowering users through data literacy to leading complex, end-to-end analyses from initial conception to the final executive summary.
- You will be expected to master and evolve our data ecosystem: Data project ownership & delivery
- Deliver end-to-end solutions, from ingestion and modeling to executive-ready visualizations and summaries.
- The Analytics Hub: Own the user experience across Mixpanel, Tableau, Metabase, and Atlan, ensuring they serve as the single source of truth.
- Project Governance: Use Jira for roadmap visibility and dbt/Confluence/Atlan for high-quality documentation that survives handoffs. Continuous Platform Improvement
- You’ll also ensure high standards for PII handling and security policies are built into every delivery. Experience and qualifications
- Familiarity with data engineering concepts (Data Lake, Data Warehouse, ETL / ELT pipeline) and tools (AWS, redshift, Lamdas, Databricks) is a plus We value diversity, equity, and inclusion
Notes et contenu original
- Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C.
- We move with a mindset we call CODE:
- If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you.
- Position description
- What you will do
- You will be expected to master and evolve our data ecosystem:
- Data project ownership & delivery
- Technical stack
- Data literacy
- Project Governance: Use Jira for roadmap visibility and dbt/Confluence/Atlan for high-quality documentation that survives handoffs.
