Data Scientist, Marketing Analytics

Sonarsource·Genevamid

In short

→Analista de datos especializado en marketing, centrado en atribución, ROI y conversión.
→Día a día: analiza datos, prueba hipótesis, comunica hallazgos y optimiza gastos publicitarios con enfoque proactivo.
→Destacado: trabaja directamente con equipos de marketing y datos para influir en decisiones estratégicas usando IA y análisis profundo.

Experiencia con herramientas de IA y habilidad para comunicar en inglés.

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What they ask for

✓Experiencia comprobable en análisis que haya influido decisiones de marketing.
✓Capacidad para diagnosticar problemas, anomalías y sugerir soluciones sin que se lo pidan.
✓Habilidad para colaborar con equipos de ingeniería de datos y análisis.
✓Conocimiento sólido en atribución, ROI y análisis de conversiones.
✓Uso habitual de herramientas de IA para mejorar eficiencia en el análisis.
✓Capacidad de comunicar hallazgos a públicos no técnicos de forma clara y accionable.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

SQLPythonTableauLookerGoogle AnalyticsSnowflakeGitJiraSlackAI tools (e.g., Claude, Copilo

Who should you write to at Sonarsource?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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). 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. 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.

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