Data Quality Analyst at CityFibre
Milton Keynes, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

24 Apr, 25

Salary

0.0

Posted On

24 Jan, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Remediation, Sql, Integration

Industry

Information Technology/IT

Description

Job Description

As an experienced Data Quality Analyst, you’ll also have:

  • Previous experience in Data Quality Analysis
  • Strong knowledge of Data Quality rules, integration, and issue remediation
  • Experience in Data Management and Data Governance
  • Proficient in using SQL for querying and manipulating large dataset
Responsibilities

THIS HYBRID ROLE OFFERS A GREAT BALANCE OF HOME AND OFFICE WORKING. YOU’LL JOIN YOUR COLLEAGUES IN YOUR LOCAL OFFICE AT LEAST 2 DAYS A WEEK.

As the UK’s largest fibre-only network, and its only proven wholesale challenger, we’re busy setting new standards for what digital infrastructure can and should be.
Designed from scratch for the internet, our network is greener, more reliable and ready for the future. The products we provide over it not only lead the market on speed, value and service, they help businesses to innovate, provide entire communities with a better foundation for their digital lives and support economic growth, locally and nationally.
What does that mean for you? The opportunity to make internet connections (and daily life) a whole lot better, for a lot of people!

THIS IS SOME OF WHAT YOU CAN EXPECT TO BE DOING

  • Maintain data integrity and documentation
  • Conduct root cause analysis and implement business solutions
  • Track and analyse quality metrics, leading efforts to correct adverse trends
  • Identify training needs and collaborate with the Data Governance team to improve data quality

WHAT YOU’LL BRING TO THE ROLE

As an experienced Data Quality Analyst, you’ll also have:

  • Previous experience in Data Quality Analysis
  • Strong knowledge of Data Quality rules, integration, and issue remediation
  • Experience in Data Management and Data Governance
  • Proficient in using SQL for querying and manipulating large datasets
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