Marketing Analytics Data Scientist: Attribution & ROI

SonarSource; Genf; Vor Ort; CHF 140.000 - 190.000; Vollzeit

Benefits dieser Stelle

Relocation support

Zusammenfassung

SonarSource in Geneva, Switzerland, is hiring a Marketing Analytics Partner in the Data & Insights team. You will turn marketing data into decisions by owning attribution, ROI, and conversion analysis end to end, surfacing findings proactively and advising on where to invest next.

You will work with Data and Analytics Engineers, Marketing Ops, Data Scientists, and product teams to shape models and data pipelines, communicating insights to non-technical stakeholders and ensuring data quality

Qualifikationen

• Strong analytical track record with measurable impact.
• Proficiency with SQL and Python for analysis and modeling.
• Experience with marketing data, attribution, and GTM data.
• Hands-on with data modeling and messy data.
• Ability to communicate insights to non-technical stakeholders.

Aufgaben

• Drive marketing decisions with attribution, ROI, conversion, and funnel analysis.
• Connect spend to outcomes across channels and campaigns; advise on investments.
• Be proactive: surface insights without being asked.
• Design and analyze AB tests and other experiments with sound statistics.
• Collaborate with Data Engineers and Analytics Engineers to model and warehouse marketing data.
• Tell the story: clearly document insights, caveats, and decisions.

Kenntnisse

SQL

Python

Statistical analysis

A/B testing

Data visualization

Stakeholder communication

Tools

dbt

Jobbeschreibung

SonarSource in Geneva, Switzerland, is hiring a Marketing Analytics Partner in the Data & Insights team. You will turn marketing data into decisions by owning attribution, ROI, and conversion analysis end to end, surfacing findings proactively and advising on where to invest next.

You will work with Data and Analytics Engineers, Marketing Ops, Data Scientists, and product teams to shape models and data pipelines, communicating insights to non-technical stakeholders and ensuring data quality