
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Remote - Global"), this listing's salary midpoint is about 44% lower. The offer still falls within the benchmark range (€1,500–€19,793). The listed pay band (€5,207–€6,627) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 307 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Remote - Global | €1,500/per month | €5,917/per month | €19,793/per month |
| Pay in our data — not quoted in ad (Mid-Level) | €5,207/per month | €5,917/per month | €6,627/per month |
As a Senior Growth Analyst, you will generate insights that illuminate the customer journey. Your analysis will drive lead acquisition, retention, and revenue growth across deskbird. You’ll leverage existing tracking systems and transform complex datasets into well-structured data models that enable actionable insights and data-driven decisions. In doing so, you’ll work with diverse datasets that reflect the entire customer lifecycle. As part of the data team, you’ll collaborate closely with cross-functional stakeholders in Marketing, Growth, and Sales to ensure our initiatives are effective, measurable, and scalable. Contribute to company goals by empowering Marketing and Growth teams with data-driven insights. Create and own all growth-related data models end to end, ensuring accuracy, reliability, and consistency across the organisation. Build and refine multi-touch attribution models; design, implement, and analyse A/B tests focused on conversion optimisation at key points in the customer journey. Incrementality is no stranger to you. Develop valuable data models and insights using diverse data sources (e.g., ad performance, website analytics, CRM data) to build a full-funnel “Bow-Tie” view. Collaborate with stakeholders to define key metrics, and develop reports and visualisations that communicate insights clearly and effectively. Champion best practices that ensure the availability, accuracy, compliance, and integrity of all data assets.
Job Details
Responsibilities
- Generate insights that illuminate the customer journey.
- Drive lead acquisition, retention, and revenue growth.
- Transform complex datasets into well-structured data models.
- Collaborate with cross-functional stakeholders.
- Develop and refine attribution models and A/B tests.
- Build a full-funnel “Bow-Tie” view.
- Create reports and visualisations.
- Ensure data accuracy, compliance, and integrity.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
Skills & Technologies
Education Level
None required
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