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DATA ANALYST
LONDON/HYBRID
UP TO £45,000
This is an opportunity to join a highly regarded analytics environment where you will play a key role in shaping how data is transformed and used to drive decision making. Sitting at the intersection of analytics and data engineering, this position offers hands on exposure to modern data tooling alongside the chance to influence how data is structured, accessed and interpreted.
ROLES AND RESPONSIBILITIES:
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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YOUR SKILLS AND EXPERIENCE:
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
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