Data Management Analyst

Harrison Holgate; Greater London; Hybrid; GBP 42,000 - 65,000; Full time

Job summary

Harrison Holgate in London is seeking a Data Management Analyst to help codify governance across data assets. The role focuses on data quality, profiling routines and governance documentation in a hybrid, London-based team.

You will work with Digital, Risk & Compliance and DPO stakeholders, applying SQL and Python to monitor data and AI systems, tracking bias, drift and performance while ensuring GDPR compliance and clear data lineage.

Qualifications

• Experience in a Data Analyst / Data Management role.
• Strong SQL and Python skills.
• Knowledge of GDPR, data governance and responsible AI.

Responsibilities

• Develop and maintain data quality rules, profiling routines and reporting dashboards.
• Support metadata, classification, taxonomy and data labelling across the business.
• Monitor data and AI systems, including bias, drift and performance.
• Analyse data to identify trends, anomalies, risks and potential areas for improvement.
• Maintain clear documentation around data lineage, processes, controls and governance.
• Support data and AI risk assessments and wider governance activities.
• Carry out root-cause analysis, reporting and other ad-hoc analytical work.
• Work with stakeholders across Digital, Risk & Compliance, DPO and business teams.

Skills

Data quality

Data profiling

Data analysis

SQL

Python

Regulated environment

GDPR

Stakeholder comms

AI/ML concepts

Job description

Data Management Analyst - Data Governance

London / Hybrid

12 Month FTC

Key Responsibilities:

• Develop and maintain data quality rules, profiling routines and reporting dashboards.
• Support metadata, classification, taxonomy and data labelling across the business.
• Monitor data and AI systems, including areas such as bias, drift and performance.
• Analyse data to identify trends, anomalies, risks and potential areas for improvement.
• Maintain clear documentation around data lineage, processes, controls and governance.
• Support data and AI risk assessments and wider governance activities.
• Carry out root-cause analysis, reporting and other ad-hoc analytical work.
• Work with stakeholders across Digital, Risk & Compliance, DPO and business teams.

What They're Looking For:

• Previous experience in a Data Analyst / Data Management role.
• Strong experience with data quality, profiling and data analysis.
• Good understanding of metadata, data lineage, classification and taxonomies.
• Strong SQL and Python skills.
• Exposure to AI/ML concepts, particularly model monitoring, bias, drift and performance testing.
• Experience working within a regulated environment, ideally insurance or financial services.
• Understanding of GDPR, data protection and responsible AI principles.
• Strong communication skills with the ability to explain technical information to non-technical stakeholders.