Data Quality Analyst

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About MIB

At MIB our people are passionate about making roads safer by getting uninsured and hit-and-run drivers off our roads. Working in partnership with the Police, Insurers and Government our collective aim is to make it a thing of the past but, until that’s accomplished, we’re here to compensate victims quickly, fairly and compassionately.

Last year we helped more than 34,000 people struck by uninsured and hit-and-run drivers and paid over £400 million in compensation to support victims rebuild their lives.

About our role

Are you passionate about precision and purpose? At the Motor Insurers’ Bureau, we’re on a mission to accelerate towards a future of zero uninsured driving and zero road harm. As a Data Quality Analyst, you’ll be at the heart of this transformation—ensuring the data that drives our decisions is accurate, consistent, and impactful.

Join a team where your insights fuel change, your values matter, and your work makes a real difference to millions across the UK.

Key Responsibilities

  • Data Quality Rule Management
    • Maintain and enhance a suite of DQ rules
    • Collaborate with internal & external stakeholders and developers to ensure rules align with business requirements and data governance standards
    • Monitor and report on rule performance
  • Data Analysis & Reporting
    • Conduct root cause analysis on data quality issues and recommend remediation actions
    • Produce and manage regular DQ reports and dashboards for internal stakeholders and MIB members
    • Support the development of DQ KPIs and metrics to track data quality improvements over time
  • Stakeholder Collaboration
    • Liaise with the Data Development team to ensure DQ rules are integrated into data pipelines and workflows
    • Engage with business users to understand data quality concerns and translate them into actionable insights
  • Data Governance Support
    • Work closely with the Data Governance Officer to align DQ initiatives with broader governance frameworks

Skills and Experience

  • Proven experience in a Data Quality Analyst role
  • Familiarity with data governance frameworks and best practices
  • Proficiency in SQL and data profiling tools
  • Experience in developing data quality metrics and dashboards using BI tools
  • Excellent analytical and problem-solving skills
  • Strong communication and stakeholder engagement skills

Preferred

  • Ability to represent the organisation in external forums
  • Experience in using Python
  • Experience working with Databricks or similar data engineering platforms
  • Experience in the General Insurance market or a regulated data environment

Job Details

  • Job Title: Data Quality Analyst
  • Grade: 11
  • Working Pattern: Monday - Friday
  • Office Location: Milton Keynes
  • Job Type: Permanent
  • Hybrid working (2 days in the office per week) from our Milton Keynes office, MK14

Benefits

  • £320 (before tax) start up allowance
  • IT kit supplied to you
  • Contributory Group Stakeholder Personal pension scheme
  • Life Assurance
  • Employee Incentive Scheme
  • Sports and Social Club
  • 24/7 Employee Assistance Programme
  • Free access to online tools to support mental and physical health
  • Enhanced maternity, paternity and adoption leave
  • 1 volunteer day each year and charity matched funding scheme

We believe in a workplace where everyone can be themselves. Through our different ideas, personalities and experiences, we redefine what is possible every day. And regardless of your colour, age, race, gender, sexual orientation or anything else you consider yourself to be, there is a place for you at MIB. A place where you can bring your best self to work every day.

If you think big, love a challenge and want to make a difference to people’s lives, we want to hear from you.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Analyst
  • Industries: Non-profit Organizations and Insurance
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Location:
Milton Keynes, England, United Kingdom
Salary:
£80,000 - £100,000
Job Type:
FullTime
Category:
IT & Technology

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