Data Analyst - Dublin

Responsibilities

Own and maintain production customer models, including churn, customer lifetime value, and propensity models, while validating performance and monitoring for drift, bias, and degradation. Define and document client data structures and requirements, resolve data quality issues, communicate model results to stakeholders, and share insights with Product.

Requirements

Requires 5+ years of experience in an ML-focused role, a degree in a quantitative field, and a track record of deploying and maintaining customer models in live environments. Candidates should have strong Python and SQL skills, data modeling and validation expertise, and experience with columnar databases, BI, and cloud data platforms.

Skills

• Python
• Machine Learning
• Advanced SQL
• Data Modeling
• Predictive Modeling
• Model Validation
• ClickHouse
• Dimensional Modeling
• BI Dashboards
• Metabase
• AWS
• Snowflake
• Data Quality
• MLOps
• dbt
• Git

About this role

About the Role
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. We also partner with organisations in financial services and other regulated sectors. 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.
About the role
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 set the data structure and attribute requirements the wider team builds to, creating a foundation that supports simple models today and more sophisticated modelling as data volume and maturity grow. You will work closely with business users and technical stakeholders.

This is a hybrid role based in Dublin. #LI-Hybrid
Key Responsibilities
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.
Your Experience and Qualifications
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.
A track record of building, deploying and maintaining customer models in live environments, not just for research purposes.
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.
Desirable
Experience with customer engagement, CRM or marketing decisioning platforms, or with marketing and campaign data.
Experience with MLOps tooling, such as experiment tracking, model registries and CI/CD for models.
dbt or a similar SQL modelling framework, using Git for version control.
Experience with MySQL as a source system.

Location
This is a hybrid role based in Dublin.
About us
Headquartered in Ireland with offices in the UK and US, Xtremepush is an Omnichannel Customer Engagement Platform powered by a built-in CDP. It enables high-velocity companies to build, grow, and retain strong customer relationships through personalised, relevant, and timely communication. With a true single customer view at its core, Xtremepush provides actionable customer intelligence that drives engagement, conversion, and revenue across all channels, while putting customer retention first.

At Xtremepush, we believe that diversity adds incredible value to our teams, our products, and our culture. We don’t just accept differences, we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. As an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone’s place regardless of race, religion, gender, sexual orientation, national origin, disability or age.

About Xtremepush

Software Development · 51-200 employees · headquartered in Dublin · founded 2015