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# Data Analyst

- **Company:** TXP
- **Location:** Dunstable, UK
- **Salary:** £124,280.0
- **Contract:** Temporary contract
- **Skills:** Data Analysis, Big Data, Cloud Engineering, Databases, Customer Data Management, Data Validation, Data Migration, Data Structures, Freeform SQL, Sql Optimization, Data Management, Databricks
- **Published:** August 13, 2026
- **Apply:** https://www.careerboard.com/pt/en/find-jobs-in-United-Kingdom/-1A7CB0A63EC6392ECA/

## About the Role

* Strong commercial experience as a Data Analyst.
 * Advanced SQL skills with the ability to work on complex data analysis and reconciliation tasks.
 * Hands-on experience with Databricks.
 * Experience working with modern cloud-based databases and data platforms.
 * Proven track record of analysing and managing large and complex datasets.
 * Strong data quality, validation, and reconciliation experience.
 * Excellent analytical and problem-solving skills.
 * Strong communication skills with the ability to engage both technical and non-technical stakeholders.

Desirable Skills & Experience

 * Experience working on Martech, CRM, Customer Data Platform (CDP), or customer data migration projects.
 * Understanding of customer data management and customer journeys.
 * Experience within customer-focused or consumer-facing environments.
 * Exposure to data migration and transformation programmes.

## Description

* Perform detailed analysis and reconciliation of customer data across multiple source systems.
 * Work with large-scale datasets (40M+ records) to identify discrepancies, data quality issues, and opportunities for consolidation.
 * Support the creation of a single, accurate, and trusted customer dataset for migration into a new Martech platform.
 * Develop and execute complex SQL queries to extract, manipulate, validate, and reconcile data.
 * Collaborate closely with business and technical stakeholders to understand data structures, mappings, and migration requirements.
 * Conduct data validation and quality assurance activities throughout the project life cycle.
 * Produce clear analysis, documentation, and recommendations to support decision-making.
 * Support ongoing improvements to data processes and methodologies.


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