Role Overview
Xtremepush is a global leader in customer engagement, providing a cutting-edge platform that empowers brands to understand, engage, and influence their customers across multiple channels. The Data Analyst will maintain predictive models that power customer decisioning, determining which customers to prioritise and how to personalise their experience.
What You Will Do
Own production models end to end, including churn, customer lifetime value (CLV), propensity and similar customer models. Validate performance against holdout data and live outcomes, and monitor models for drift, bias and degradation.
Why It Might Be a Fit
The ideal candidate will have 5+ years’ experience in an ML-focused role, ideally in financial services or another regulated sector, and a strong background in data modelling, Python, and SQL.
Requirements
- 5+ years’ experience in an ML-focused role, ideally in financial services or another regulated sector.
- A degree in a quantitative field such as statistics, computer science, mathematics or economics.
- Strong Python, plus experience with common ML libraries.
- Advanced SQL, including window functions, complex joins and query optimisation.
- Strong data modelling skills, including dimensional modelling, fact and dimension design, and handling data that changes over time.
- Experience with ClickHouse or another columnar database, including table design, ordering keys, partitioning, and choosing between materialized views and scheduled refreshes.
- Solid grounding in model and data validation, including metric selection, holdout design, calibration and reconciling results against source data.
- Experience defining and documenting metrics so they are used consistently, and building BI dashboards and the datasets behind them, ideally in Metabase.
- Experience with cloud data platforms such as AWS or Snowflake.
- Strong analytical and problem-solving skills and excellent written communication.
To apply for this job please visit xtremepush.jobs.personio.com.

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