Compared with the selected benchmark ("All roles in London, United Kingdom"), this listing's salary midpoint is about 94% lower. The offer sits below the benchmark range (€3,847–€15,737). The listed pay band (€459–€729) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 10 comparable listings.

Monthly salary comparison for Growth Analyst
Market	Lower bound (25th percentile)	Median	Upper bound (75th percentile)
All roles in London, United Kingdom	€3,847/per month	€7,124/per month	€15,737/per month

About the role

Growth Analyst job posting details as provided in the page content.

Job Details

Responsibilities

Maintain, monitor, and refine our customer lifetime value models across products and channels
Analyze marketing campaign performance across multiple channels and conduct analyses to identify trends and opportunities for optimisation
Structure and execute high-impact analyses in acquisition funnels to inform marketing spend and product evolution
Drive experimentation rigor: design, implement, and analyze A/B tests, multivariate experiments, and cohort studies
Turn experiment results into clear, actionable recommendations
Influence data architecture by contributing to schema design that enable more insights
Build high quality, scalable pipelines and transformations that increase interpretability of data and increase the teams’ agility
Drive recommendations on channel optimisation and marketing spend
Serve as a thought partner to Product Managers and Credit Managers - ensuring analytical insight drives roadmap prioritisation and credit assessments.
Collaborate with the creative and design team to deepen insights at the creative and campaign level to enhance prioritisation of their ideas.

Requirements

3+ years of experience in data analytics, ideally within a product-led or high-growth tech environment
Deep expertise in analytical methods including LTV modelling, cohort analysis and regression techniques.
High proficiency in SQL and strong command of one or more analytics tools or statistical packages (e.g., Python, R).
Hands-on experience with DBT and familiarity with data modelling best practices
Skilled in experimentation frameworks (A/B testing, hypothesis testing, causal inference).
Demonstrated ability to turn ambiguous problems into structured, hypothesis-driven, data-supported insights.
Excellent communication skills with experience influencing cross-functional stakeholders and product leaders.