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# Quality Data Analyst

- **Company:** Atlas Copco
- **Location:** Burgess Hill, UK (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Big Data, Data Cleansing, Data Manipulation Languages, Data Transformation, Power BI, Standard Sql, Tableau (Software), Information Technology, Tools for Reporting
- **Published:** October 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b1e60d6cd07cd645

## About the Role

* Degree in Data Science, Mathematics, Statistics, Computer Science, Engineering, or a related discipline.
 * 2-5 years' experience working with data analysis, reporting, or business intelligence solutions.
 * Strong analytical skills with the ability to interpret large and complex datasets.
 * Experience creating dashboards and reports using tools such as Power BI, Tableau, or similar platforms.
 * Knowledge of data modelling, data transformation, and reporting best practices.
 * Strong SQL and data manipulation skills.
 * Ability to communicate findings clearly and present data in a meaningful way to business stakeholders.
 * Strong attention to detail and commitment to data accuracy and integrity.
 * Ability to manage multiple priorities and work independently. Experience working with data from multiple systems and sources would be advantageous.
*

## Description

Bring your curiosity to work as our next Quality Data Analyst. You will join the Quality team supporting the three Semiconductor divisions, reporting to the Global Warranty Specialist. In this role, your mission will focus on transforming complex and fragmented quality and warranty data into trusted, accessible, and actionable information that enables faster and better business decisions.

Your day to day

You will be responsible for developing and maintaining data models, dashboards, reporting solutions, and analytical tools that deliver a consistent view of quality and warranty performance across the Semiconductor business. A key objective is to establish a single source of truth that minimizes the need for local analysis and enables regional teams to concentrate on improvement activities rather than data preparation.

Main responsibilities include:

 * Develop and maintain quality and warranty dashboards for regional and global stakeholders.
 * Consolidate and transform data from multiple systems into reliable, consistent reporting datasets.
 * Analyse complex data to identify trends, anomalies and key performance drivers.
 * Build and maintain data models, calculations and reporting logic to support a single source of truth.
 * Partner with stakeholders across Quality, Engineering, Service and Operations to translate business needs into practical reporting and analytical solutions.
 * Improve data quality and reporting standards through validation, cleansing, reconciliation, documentation and standardisation.