Das ist der Job
Pandas, Statsmodels, Scikit‑learn) Advanced skills in SQL, version control (e.g.
Darum lohnt es sich
Responsibilities 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 Qualifications Excellent organisational, analytical and collaboration skills Strong communication skills with fluency in English Proficiency in dashboarding tools such as Tableau, Power BI or Looker, with the ability to translate data into actionable insights 5+ years of experience in analytics, with a focus on growth and marketing Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering or a related field Strong expertise in Python for statistical analysis, propensity modelling and building analytical solutions (e.g.
GitHub) and dbt for data modelling and building trusted datasets Strong expertise in A/B testing and experimental design and analysis #J-18808-Ljbffr
