Data Analyst - Dublin

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. Specialising in the Sports Betting & Gaming (SBG) industry, Xtremepush enables businesses to drive growth and enhance customer experiences through data-driven insights, personalisation, and omni-channel marketing. Our innovative Customer Data Platform and engagement tools help organisations create highly targeted campaigns, optimise conversions, and maximise revenue. Xtremepush is the only platform that combines real-time CDP, Omnichannel Activation, AI Optimisation, Gamification Engine, and Advanced Intelligence in a single platform.

We are seeking an experienced Data Analyst to maintain the predictive models that power customer decisioning, determining which customers to prioritise and how to personalise their experience. Working across a number of clients, you will lay the data foundation that supports simple models today and more sophisticated modelling as data volume and maturity grow. This role requires the successful candidate to have strong analytical and problem solving skills, excellent written communication and the ability to work closely with business users and technical stakeholders.

This is a hybrid role based in Dublin. #LI-Hybrid

• 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.

• Define the data structure, entities and attribute design across each client’s full customer dataset, and document the data requirements that our Data Modeller implements and maintains.

• Identify data gaps and quality issues, and agree fixes with client and internal teams.

• Document models, features and assumptions to a standard suitable for a regulated environment.

• Explain model results clearly to non-technical stakeholders, and feed learnings back to Product to help shape the product roadmap.

• 5+ years’ experience building, deploying and maintaining customer models in live environments, ideally in financial services or another regulated sector.

• A degree in a quantitative field such as statistics, computer science, mathematics or economics, or equivalent experience.

• Strong Python, including common ML libraries, and advanced SQL.

• Strong data modelling skills, including dimensional modelling and handling data that changes over time.

• Experience with ClickHouse or another columnar database.

• Solid grounding in model and data validation, such as holdout design and calibration.

• Experience defining metrics and building BI dashboards and the datasets behind them, in a tool such as Metabase.

• Experience with cloud data platforms such as AWS or Snowflake.

• Strong problem-solving skills and excellent written communication.

• Experience with customer engagement, CRM or marketing decisioning platforms, or with marketing and campaign data, is desirable.

• Experience with MLOps practices, such as experiment tracking, model registries and CI/CD for models, is desirable.

• Experience with dbt or a similar SQL modelling framework, using Git for version control, is desirable.

• Experience with MySQL as a source system is desirable.

This is a hybrid role based in Dublin.