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# Analytics Engineer

- **Company:** Robert Walters
- **Location:** Birmingham, UK (Remote available)
- **Salary:** £40,000.0 - £50,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Data Cleansing, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Power BI, SQL Databases, Snowflake
- **Published:** September 15, 2026
- **Apply:** https://www.reed.co.uk/jobs/analytics-engineer/57347022

## About the Role

* Proficiency in designing interactive dashboards and reports using Power BI is required to meet stakeholder needs effectively.
 * Demonstrated ability in manipulating large datasets using advanced techniques ensures accurate analysis and reporting.
 * Familiarity with SQL and Data Warehouse concepts enables efficient extraction, transformation, and loading of data from multiple sources.
 * Strong background in creating visually engaging data presentations helps communicate findings clearly across audiences.
 * Exposure to Python programming is advantageous for automating processes or enhancing analytical outputs within the team.
 * Excellent stakeholder management skills allow you to build trust-based relationships that support collaborative problem-solving.

## Description

We are seeking an Analytics Engineer to join a remote team, offering you the chance to play a pivotal role in shaping the future of data reporting and analytics. This position provides an exciting opportunity to work with cutting-edge technologies such as Power BI and Snowflake, while contributing to the development of modern data platforms across multiple divisions., * Designing, developing, and maintaining Power BI reports that provide actionable insights for various business units across the organisation.

 * Supporting the implementation and ongoing optimisation of Snowflake as a centralised data platform, setting up agents for each division as required.
 * Manipulating large datasets efficiently using advanced techniques to ensure high-quality data preparation and transformation for analysis.
 * Collaborating closely with cross-functional teams to understand their analytical needs and translate these requirements into practical solutions.
 * Utilising SQL and Data Warehouse experience to extract, transform, and load data from diverse sources into unified reporting structures.
 * Leveraging Python skills where possible to automate workflows or enhance analytical capabilities within the team.


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