Sonar Source

4 weeks ago

Data Scientist, Marketing Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

We are seeking a data-driven Marketing Analytics specialist to turn marketing data into decisions. Own attribution, ROI, and conversion analysis; diagnose drops and anomalies; optimize spend across channels; run experiments with sound statistics; and partner with data engineers to connect marketing data with sales and product insights.

Location: Geneva

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Drive marketing decisions with attribution, ROI, and conversion analysis end to end; diagnose drops and anomalies, quantify drivers, and translate findings into clear recommendations for marketing leaders.
•Optimize marketing spend by connecting spend to outcomes across channels and campaigns, and advise on where to invest, cut, or test next.
•Be proactive and surface insights by correlating data to surface opportunities for the marketing team, anticipating questions before they are asked.
•Design and run experiments, including A/B tests, applying sound statistical methods and interpreting significance and causality.
•Partner 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.

Key Requirements

•Strong analytical track record: demonstrated impact on business or marketing decisions through analysis rather than just producing reports.
•Comfort with the latest AI tools and a habit of using them to work faster and sharper, including data exploration, coding, and modeling.
•Eagerness to develop skills, seek feedback, and treat new tools as opportunities.
•Solid SQL: ability to independently query, join, and explore data.
•Proficiency in Python for analysis, modeling, and automation.

Experience:Marketing analytics

Skills:CommunicationStakeholder managementProblem-solvingAnalytical thinkingProactivity

Languages:English

Tech Stack:SQLPythonDbtData modelingStatisticsA/B testing

Company Brief

Sonar Source

Builds static code analysis and continuous inspection tools (SonarQube, SonarCloud, SonarLint) that identify bugs, vulnerabilities, and code smells across multiple languages to help teams improve code quality and maintainability.

Industry: Developer Tools

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: Geneva, Switzerland

Founded: 2008

Website LinkedIn

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Sonar Source

4 weeks ago

Data Scientist, Marketing Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Geneva

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Drive marketing decisions with attribution, ROI, and conversion analysis end to end; diagnose drops and anomalies, quantify drivers, and translate findings into clear recommendations for marketing leaders.
•Optimize marketing spend by connecting spend to outcomes across channels and campaigns, and advise on where to invest, cut, or test next.
•Be proactive and surface insights by correlating data to surface opportunities for the marketing team, anticipating questions before they are asked.
•Design and run experiments, including A/B tests, applying sound statistical methods and interpreting significance and causality.
•Partner 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.

Key Requirements

•Strong analytical track record: demonstrated impact on business or marketing decisions through analysis rather than just producing reports.
•Comfort with the latest AI tools and a habit of using them to work faster and sharper, including data exploration, coding, and modeling.
•Eagerness to develop skills, seek feedback, and treat new tools as opportunities.
•Solid SQL: ability to independently query, join, and explore data.
•Proficiency in Python for analysis, modeling, and automation.

Experience:Marketing analytics

Skills:CommunicationStakeholder managementProblem-solvingAnalytical thinkingProactivity

Languages:English

Tech Stack:SQLPythonDbtData modelingStatisticsA/B testing

Company Brief

Sonar Source

Industry: Developer Tools

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: Geneva, Switzerland

Founded: 2008

Website LinkedIn