Data Product Analyst

SonarSource SA
Geneva, Genève
CDI
Informatique & Tech
5 vues
Il y a 26 jours
SonarSource SA recrute un(e) Data Product Analyst a Geneva. Sonar, leader en développement logiciel centré sur l'agent, offre des solutions innovantes.

TACHES


  • €¢
  • Analyser les données pour éclairer les décisions stratégiques. •
    Gérer des projets de données de bout en bout avec agilité. •
    Favoriser l'autonomie des utilisateurs grâce à la culture des données.

    COMPETENCES


  • €¢
  • 3 à 5 ans d'expérience en tant qu'analyste de données ou similaire. •
    Maîtrise de dbt et SQL pour la modélisation des données. •

    COMPETENCES


    en visualisation, notamment avec Tableau ou Mixpanel. 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. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking. com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like:
  • €¢
  • SonarQube: The world’s leading AI code review and verification platform. •
    SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair. •
    SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D. We move with a mindset we call CODE:
  • €¢
  • Committed to our customers and community. •
    Obsessed with quality. •
    Deliberate in our decisions. •
    Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. 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
    We want to make the best decisions possible for our products and to do that, we need to make data-driven decisions. To achieve this goal, we are looking for a talented Data Product Analyst (DPA) to join the product data team. As a Data Product Analyst (DPA) at Sonar, you are the architect of clarity and the bridge between technical infrastructure and business value. We treat Data as a Product, and you own its entire lifecycle—from dbt SQL modeling and event-based schema governance to high-level executive storytelling. You will thrive in this role if you enjoy a "full-stack" analytical challenge. You are a proactive project leader who owns the data relationship for your domain. 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. \n
    What you will do
    We believe in using the best tools to stay effective and efficient. You will be expected to master and evolve our data ecosystem:
    Data project ownership & delivery
  • €¢
  • Managing a data project from start to finish using agile method, helping stakeholders to refine their questions into structured data projects, advising stakeholders on what to measure, how to model it, and which tool to use and facilitating stakeholder discussions to bridge the gap between high-level business goals and technical execution. •
    Deliver end-to-end solutions, from ingestion and modeling to executive-ready visualizations and summaries. Technical stack
  • €¢
  • Modeling & Architecture: Build and maintain scalable models using dbt (SQL) and provide critical reviews of event schemas for our event-based platform. •
    Modern Workflow: Leverage Cursor and Git to accelerate development and ensure code quality and version control. •
    The Analytics Hub: Own the user experience across Mixpanel, Tableau, Metabase, and Atlan, ensuring they serve as the single source of truth. Data literacy
  • €¢
  • Onboarding and empowering users to self-serve, effectively reducing the data team as a bottleneck. •
    Handling ad-hoc requests ranging from querying specific datasets to providing technical guidance on our tooling landscape. •
    Participating in Level 1 technical support, including monitoring dbt jobs and Tableau extracts to ensure the reliability of our products. •
    Project Governance: Use Jira for roadmap visibility and dbt/Confluence/Atlan for high-quality documentation that survives handoffs. Continuous Platform Improvement
    You act as a bridge to Data Engineering. You’ll proactively surface data debt, documentation gaps, and tooling friction to ensure the platform gets simpler and stronger over time. You’ll also ensure high standards for PII handling and security policies are built into every delivery. Experience and

    QUALIFICATIONS


  • €¢
  • Proven Experience: 3–5+ years in a Data Analyst, Data Product Analyst, or Analytics Engineering role, ideally within a fast-paced environment. •
    Project Leadership: A track record of taking the lead with stakeholders—successfully translating high-level business ambiguity into structured, actionable data projects. You have background helping and mentoring other team members. •
    Technical Mastery: hands-on experience with dbt / SQL (modeling, testing, and documentation). •
    Hands-on parcours professionnel with data visualization tools (Tableau, Mixpanel, or similar)
  • €¢
  • The Modern Workflow: Comfort working in a version-controlled environment (Git) and an interest in leveraging AI-assisted development tools (like Cursor) to drive efficiency. •
    Data Storytelling: The ability to distill complex findings into executive-ready summaries and visualizations that drive decision-making. •
    You are fluent in English both written and spoken
  • €¢
  • Familiarity with data governance practices (PII handling and access control). •
    Experience in Product Analytics or working directly with Product Managers a nice to have
  • €¢
Familiarity with data engineering concepts (Data Lake, Data Warehouse, ETL / ELT pipeline) and tools (AWS, redshift, Lamdas, Databricks) is a plus
\n
We value diversity, equity, and inclusion
At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you need any accommodation, please reach out to us at
E-Mail schreiben. 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. Applications that are submitted through agencies or third party recruiters will not be considered. Ce poste est a pourvoir rapidement. Candidatez sans tarder.

Profil recherché

  • €¢
  • Proven Experience: 3–5+ years in a Data Analyst, Data Product Analyst, or Analytics Engineering role, ideally within a fast-paced environment. •
    Project Leadership: A track record of taking the lead with stakeholders—successfully translating high-level business ambiguity into structured, actionable data projects. You have background helping and mentoring other team members. •
    Technical Mastery: hands-on experience with dbt / SQL (modeling, testing, and documentation). •
    Hands-on parcours professionnel with data visualization tools (Tableau, Mixpanel, or similar)
  • €¢
  • The Modern Workflow: Comfort working in a version-controlled environment (Git) and an interest in leveraging AI-assisted development tools (like Cursor) to drive efficiency. •
    Data Storytelling: The ability to distill complex findings into executive-ready summaries and visualizations that drive decision-making. •
    You are fluent in English both written and spoken
  • €¢
  • Familiarity with data governance practices (PII handling and access control). •
    Experience in Product Analytics or working directly with Product Managers a nice to have
  • €¢
Familiarity with data engineering concepts (Data Lake, Data Warehouse, ETL / ELT pipeline) and tools (AWS, redshift, Lamdas, Databricks) is a plus
\n
We value diversity, equity, and inclusion
At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you need any accommodation, please reach out to us at
E-Mail schreiben. 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. Applications that are submitted through agencies or third party recruiters will not be considered. Ce poste est a pourvoir rapidement. Candidatez sans tarder.
Genève Geneva Informatique & Tech CDI

Offres similaires

Avis SwissJobs.online

Ce que nos utilisateurs pensent de notre plateforme

4.8
5 avis
Marie Dupont Vérifié
Responsable Marketing

Excellent service ! J'ai trouvé mon emploi de rêve en moins de 2 semaines grâce à SwissJobs.online. La plateforme est intuitive et les offres sont de qualité.

25 January 2026
Jean Martin Vérifié
Développeur Full Stack

Très professionnel. Les conseillers sont à l'écoute et m'ont accompagné tout au long de ma recherche d'emploi. Je recommande vivement !

25 January 2026
Sophie Bernard Vérifié
Comptable

Plateforme efficace avec de nombreuses offres en Suisse romande. Quelques améliorations possibles sur les filtres, mais globalement très satisfaite.

25 January 2026
Thomas Weber Vérifié
Chef de Projet IT

SwissJobs.online m'a permis de trouver un poste CDI dans mon canton. Interface claire et offres actualisées régulièrement.

25 January 2026
Laura Schneider Vérifié
Assistante RH

Service client réactif et professionnel. J'ai apprécié l'accompagnement personnalisé pour préparer mes entretiens.

25 January 2026

Questions fréquentes

Comment créer un compte candidat ?
Pour créer votre compte, cliquez sur "Candidat" en haut à droite, puis sur "Créer un compte". Remplissez le formulaire avec vos informations et validez votre email.
Comment postuler à une offre d'emploi ?
Consultez l'offre qui vous intéresse, cliquez sur "Postuler" et suivez les instructions. Vous pouvez postuler par email ou via le formulaire en ligne selon l'offre.
Comment filtrer les offres par canton ?
Utilisez le menu déroulant "Canton" dans la barre de filtres à gauche. Vous pouvez sélectionner un ou plusieurs cantons pour affiner votre recherche.
Combien de temps les offres restent-elles en ligne ?
Les offres restent actives selon la durée définie par l'employeur, généralement 30 à 60 jours. Les offres expirées sont automatiquement retirées.
Comment recevoir des alertes emploi ?
Créez votre compte, définissez vos critères de recherche (canton, catégorie, type de contrat) et activez les notifications par email dans vos paramètres.
Puis-je sauvegarder des offres ?
Oui, connectez-vous à votre compte et cliquez sur l'icône "Favoris" sur chaque offre. Retrouvez vos offres sauvegardées dans votre espace personnel.
Comment mettre à jour mon CV ?
Accédez à votre espace personnel, section "Mon profil", puis cliquez sur "Modifier mon CV". Vous pouvez télécharger un nouveau fichier PDF.
Les services sont-ils gratuits pour les candidats ?
Oui, tous nos services sont 100% gratuits pour les candidats : recherche d'offres, candidatures, alertes emploi et accompagnement.
Comment contacter le support ?
Utilisez notre formulaire de contact ou le chat en ligne. Notre équipe répond sous 24h les jours ouvrés.
Puis-je modifier ma candidature après l'envoi ?
Non, une fois envoyée, la candidature ne peut plus être modifiée. Assurez-vous de vérifier tous les documents avant de soumettre.

Assistant Services