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# Data Analyst

- **Company:** Harnham
- **Location:** London, UK
- **Salary:** £40,000.0 - £50,000.0
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, Data Analysis, BigQuery, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Web Analytics, Snowflake, Document Classification, Data Pipelines
- **Published:** July 16, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-analyst/57128401

## About the Role

The ideal candidate will have the following skills and experience:

 * Strong commercial experience writing efficient and reliable SQL, including complex joins, aggregations and working with semi structured data
 * Experience working within a cloud data warehouse environment such as Snowflake, BigQuery or similar
 * Working knowledge of Python for data analysis and manipulation is desirable
 * Understanding of data pipelines and transformation workflows, with an interest in developing further using tools such as dbt
 * Experience with BI and data visualisation tools such as ThoughtSpot, Tableau or Power BI
 * Ability to validate data and apply quality assurance processes
 * Confident communicator, comfortable working with stakeholders across teams to translate data into insight

## Description

The Data Analyst will:

 * Build, optimise and maintain SQL based data transformations within a cloud data warehouse environment including Snowflake
 * Connect and consolidate multiple data sources such as web analytics, social data, social listening and brand research
 * Support the development of scalable and reliable data pipelines, improving existing processes and identifying efficiencies
 * Contribute to a text classification project analysing online content to evaluate brand presence and quality
 * Validate and quality check datasets to ensure accuracy and consistency across reporting outputs
 * Work closely with analysts to enable deeper insight generation and more robust reporting
 * Gradually take ownership of projects, proactively identifying opportunities for new analysis and process improvement


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