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Data Analyst
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
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 Key Responsibilities
Location This is a hybrid role based in Dublin.
Read the full posting- Employment
Permanent — employment source
Employment type in the employer’s posting: Permanent employee
From the employer’s posting
What you’ll work on
Full postingXtremepush 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.
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.
Own production models end to end, including churn, customer lifetime value (CLV), propensity and similar customer models.
Document models, features and assumptions to a standard suitable for a regulated environment.
From the employer’s posting
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.
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.
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.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 6, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Xtremepush is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- ClickHouse
- dbt
- Metabase
- MySQL
- Snowflake
Where the posting names them
- 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 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.
- 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.
- 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.
- 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.
- 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. Location
Your next step
Complete your application on xtremepush.jobs.personio.com. The employer’s form will show what is required.
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Demand for Analyst roles
New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.
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About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
About the Role
This is a hybrid role based in Dublin. #LI-Hybrid
Key Responsibilities
Your Experience and Qualifications
Location
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
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 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.
Location
This is a hybrid role based in Dublin.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Dublin
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 Key Responsibilities
More source context
Location This is a hybrid role based in Dublin.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.