Business Analyst – Data Labelling

Barclay Simpson; Greater London; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A recruitment firm in the UK is seeking a Business Analyst to support a data labelling and classification programme. Responsibilities include defining labelling requirements and ensuring data accuracy for analytics. Candidates should have experience in data/tech projects, especially related to data lakes and taxonomy work. The role also emphasizes strong stakeholder management skills. This position is essential for maintaining quality and consistency in data analytics processes.

Qualifications

• Experience as a Business Analyst on data/tech projects.
• Knowledge of data lakes, metadata, and ensuring data quality.
• Strong ability to manage stakeholders and document processes.

Responsibilities

• Capture and document labelling/classification requirements.
• Define taxonomies, labelling rules, and acceptance criteria.
• Work with data engineers on embedding labelling metadata into data lakes and pipelines.
• Set up QA checks and KPIs for monitoring label accuracy.
• Support Agile delivery processes.

Skills

Stakeholder management

Documentation skills

Data classification

Data quality

Agile delivery

Tools

SQL

Python

Data catalog/governance tools

Labelling platforms

Job description

Business Analyst required to support a data labelling and classification programme. You’ll define labelling requirements, align them to data lake structures, and ensure data is correctly and consistently labelled for analytics.

Key responsibilities

• Capture and document labelling/classification requirements with business, data science, and engineering teams.
• Define taxonomies, labelling rules, and acceptance criteria.
• Work with data engineers to embed labelling metadata intodata lakes and pipelines.
• Set up QA checks and KPIs to monitor label accuracy and consistency.
• Support Agile delivery (user stories, backlog, testing, stakeholder alignment).

Required experience

• Business Analyst on data/tech projects.
• Knowledge ofdata lakes, metadata, and data quality.
• Experience withdata classification/taxonomy work.
• Strong stakeholder management and clear documentation skills.
• Comfortable using data and metrics to validate outcomes.

Nice to have

• Data catalog/governance tools
• Labelling platforms
• SQL/Python