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# Data Analyst

- **Company:** Skanska UK PLC
- **Location:** Gravesend, UK
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Big Data, Data Systems, Power BI, SQL Databases, Tableau (Software), Unstructured Data, Cloud Platform System, Information Technology, Performance Monitor
- **Published:** October 6, 2026
- **Apply:** https://skanska.avature.net/careers/Login?jobId=6566

## About the Role

* Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, Economics or a related field.
 * Proven experience in a data analyst role, ideally in a commercial or operational environment.
 * Strong expertise in data analysis, interpretation, and critical thinking.
 * Advanced proficiency in BI and data visualisation tools, such as Power BI or Tableau.
 * Experience working with large datasets, SQL, Excel, cloud-based platforms, and cross-functional teams to turn business needs into data solutions.

## Description

We are currently looking for a Data Analyst who will be responsible for analysing interpreting, and visualising data to provide actionable insights that support business decision-making and strategic initiatives.

As the Data Analyst, you will:

 * Analyse structured and unstructured data to identify trends, patterns, anomalies, and actionable insights that support business performance and operational improvement.
 * Design and deliver clear, engaging dashboards, reports, and visualisations that help stakeholders monitor performance and make informed decisions.
 * Translate business questions and stakeholder needs into data requirements, analytical frameworks, and practical solutions that address real-world challenges.
 * Maintain high standards of data quality, accuracy, consistency, and governance, ensuring compliance with GDPR, data protection, and internal policies.
 * Work closely with data engineers, architects, and business stakeholders to source, transform, validate, and present data, while contributing to continuous improvement and knowledge sharing across analytical practices.