--- title: 'Data Scientist, Marketing Analytics at Sonar' canonical: 'https://feeny.ai/job/data-scientist-marketing-analytics-sonar-geneva-yayt4zdmqm4t' type: 'job' last_seen: '2026-09-07' --- # Data Scientist, Marketing Analytics at Sonar - **Company:** Sonar - **Location:** Geneva, Switzerland - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-06-26 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/sonarsource/bc3d70b3-4c46-4bdb-ac61-d067f00bcda5 ## Job description Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code verification and governance, 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.C. 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 This role is the data team's dedicated analytical partner for Marketing. Your core job is to turn marketing data into decisions: diagnose what is working and what is not, explain why, and recommend where to spend the next dollar. You will own marketing attribution, ROI, and conversion analysis end to end, and you will be proactive about it, surfacing findings and opportunities before anyone asks. You will explore data, form hypotheses, and partner with our Data and Analytics Engineers to shape the models and pipelines you need. You will help define those models, but your primary measure of success is the quality and impact of your analysis. This role sits in the Data & Insights team and partners closely with Marketing, IT/Marketing Ops, Data Engineers, Analytics Engineers, and data scientists covering other domains. ## What you will do - Drive marketing decisions with analysis. Own attribution, ROI, conversion, and funnel analysis. Diagnose drops and anomalies, quantify what drives them, and translate findings into clear recommendations for marketing leaders. - Optimize marketing spend. Connect spend to outcomes across channels and campaigns, and advise on where to invest, cut, or test next. - Be proactive. Explore and correlate data to surface insights nobody asked for. Anticipate the next question. Bring opportunities to the marketing team rather than waiting for requests. - Run experiments. Design and read out A/B tests and other experiments, applying sound statistical methods and being honest about significance and causality. - Partner on the data foundation. Work hand in hand with Data Engineers and Analytics Engineers to get marketing data into the warehouse and modeled. Define requirements, explore raw data, and contribute to data models that connect marketing data with sales and product data. - Tell the story. Communicate insights so non-technical stakeholders can act, and document context, caveats, and decisions so the work survives handoffs. ## Experience and qualifications - Strong analytical track record: someone who has measurably influenced business or marketing decisions through analysis, not just produced reports. - Comfort with the latest AI tools, and a habit of using them to work faster and sharper: exploring data, writing and debugging code, drafting analysis, and accelerating insight. You stay current as the tooling evolves and bring new approaches to the team. - Eagerness to develop: you actively grow your skills, seek feedback, and treat new tools and methods as opportunities rather than threats. - Solid SQL. You can independently query, join, and explore data without waiting for someone to prepare it for you. - Proficiency in Python for analysis, modeling, and automation. - Statistical foundation: experimentation, significance testing, regression, segmentation, forecasting, and the judgment to know which applies. - Working knowledge of marketing and GTM data: channels, campaigns, attribution models, funnel and conversion metrics, and the realities of joining marketing data to CRM/sales and product usage data. - Willingness to get hands-on with data modeling. You don't need to be a dbt expert, but you must be comfortable exploring messy data and partnering on (or building) the models you need rather than waiting for clean tables. - Strong communication and stakeholder skills: you can challenge weak measurement respectfully and make a recommendation, not just present options. - Proactivity and autonomy: you raise your hand early, plan your own work, and look for impact without being asked. In-office culture We're intentional about this. We believe the best teams are built in the room together. Three anchor days — Mondays, Tuesdays, and Thursdays — create the collaboration rhythm that makes a hub office worth having. Candidates need to be genuinely based in the location the role is posted  — if that's not where you are today, we're happy to support relocation for the right person. 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 hiring@sonarsource.com. All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date. Applications that are submitted through agencies or third party recruiters will not be considered. ## About Sonar ## Company Overview - **One-liner**: Sonar provides a platform for automated code review that helps developers deliver high-quality, secure software by analyzing code they write, AI-generated code, and third-party code. - **Entity Type**: Private (Series B, $412M raised in 2022 at a $4.7B valuation) - **Headquarters**: Vernier, Geneva, Switzerland (also major offices in Austin, London, Singapore, and others) - **Founded**: 2008 - **Founders**: Freddy Mallet, Simon Brandhof, Olivier Gaudin ## Core Business - Primary industry: Software Development, Code Quality & Security (SAST) - Target customers: B2B, developers, and enterprises (7M+ developers, 21,000+ enterprise customers globally) - Mission: "Transparency and continuous improvement to support our community and make tomorrow's innovations possible." ## Products & Services - **SonarQube (Self-Hosted)**: The flagship on-premises platform for continuous code quality and security inspection, supporting multiple languages and integrating into CI/CD pipelines. - **SonarQube Cloud (SaaS)**: A cloud-based version of the SonarQube platform, free for open-source projects and paid for private projects. - **Sonar Analyzers**: Language-specific rules and analysis engines that detect bugs, vulnerabilities, and code smells. ## Market Standing - **Valuation/Market Cap**: $4.7 billion (as of April 2022 Series B round) - **Key Metric**: Annual revenue of ~$289M (latest fiscal year); Total funding of $457M (across two rounds) - **Notable Investors/Partners**: Insight Partners (lead in 2016), Advent International and General Catalyst (lead in 2022). Customers include Snowflake, Booking.com, Deutsche Bank, AstraZeneca, and Ford. - **Growth Signals**: 726 employees (+24.1% YoY); analyzes 750+ billion lines of code daily; acquired Tidelift (Dec 2024) and AutoCodeRover (Feb 2025); driving toward $1B revenue. ## Competitive Advantages - Trusted verification layer for AI-generated code, providing deterministic, repeatable, and actionable results at scale. - Open-source roots and 17+ years of industry leadership in automated code review. - Integrated code quality and security (SAST) in a single platform, reducing technical debt and complexity. ## Strategic Focus - Expanding go-to-market globally to reach $1B in revenue. - Deepening capabilities for AI code verification and securing the AI coding era. - Growing the platform through acquisitions (Tidelift for package management, AutoCodeRover for AI-powered code remediation). ## Why Work Here - **Culture**: Highly committed to each other, customers, and the open-source community; values positivity, dedication, empathy, and passion. - **Work Model**: Hybrid – flexibility to work from home two days a week (Wednesdays and Fridays). Offices in 10 locations across 4 continents. - **Benefits** (varies by country): Generous PTO (25–28 days + seniority days), 401K match (US), healthcare premium coverage (90% employee, 60% dependents in US), pension contributions (Switzerland/UK), commuting subsidies (public transport, parking, cycling). - **Interview Process**: 4 stages – Recruiter Interview, Hiring Manager Interview, Peer/Technical Interview, Cross-Functional Interview. - **Engineering Culture**: Builders behind a platform used by millions; focus on quality, security, and innovation. ## Sources 1. [sonarsource.com](https://www.sonarsource.com/company/about/) – About page 2. [sonarsource.com](https://www.sonarsource.com/company/careers/) – Careers page with benefits and history 3. [linkedin.com](https://linkedin.com/company/sonarsource) – Company LinkedIn profile (employees, revenue, funding, acquisitions) 4. [jobs.lever.co](https://jobs.lever.co/sonarsource) – Open positions (Lever careers page) ## Other roles at Sonar - [Sales Manager - EMEA West](https://feeny.ai/job/sales-manager-emea-west-sonar-geneva-2jva31zrhmrk) — Geneva, Switzerland - [Sales Manager - EMEA East](https://feeny.ai/job/sales-manager-emea-east-sonar-geneva-14qsg8sdya8x) — Geneva, Switzerland - [Sales Manager - EMEA North](https://feeny.ai/job/sales-manager-emea-north-sonar-london-56r5h9fzetct) — London, United Kingdom - [Sales Development Representative - Greater China](https://feeny.ai/job/sales-development-representative-greater-china-sonar-singapore-t4bqe2r4nq1k) — Singapore - [Major Incident Manager](https://feeny.ai/job/major-incident-manager-sonar-singapore-47apd20x99ey) — Singapore - [Application Security Engineer](https://feeny.ai/job/application-security-engineer-sonar-geneva-aw15g9x3j5gf) — Geneva, Switzerland - [Application Security Engineer](https://feeny.ai/job/application-security-engineer-sonar-austin-pgzxm1g8pwvs) — Austin, TX - [Sr. Staff Customer Trust Manager](https://feeny.ai/job/sr-staff-customer-trust-manager-sonar-geneva-0sck90tym3sv) — Geneva, Switzerland - [Sr. Staff Customer Trust Manager](https://feeny.ai/job/sr-staff-customer-trust-manager-sonar-austin-9vhcqrftjef9) — Austin, TX - [Engineering Manager - Cloud Platform & Operations](https://feeny.ai/job/engineering-manager-cloud-platform-operations-sonar-geneva-62252e9xcs73) — Geneva, Switzerland