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Data Processing Manager

Harnham - Data & Analytics Recruitment
Posted a month ago
Location

London, Greater London EC1R 0WX

Salary

£40,000 - £50,000 per annum

Contract type

Full Time

DATA PROCESSING MANAGER

LONDON - HYBRID (3 DAYS IN OFFICE)

£40,000 - £50,000 PER ANNUM.

Our client is seeking a Data Processing Manager with experience in data quality to join our dynamic data quality team.

THE COMPANY

This company is a market-leading data and analytics firm specialising in the media, games and sports sectors. Our research meshes in-depth financial and KPI analysis of company performance, detailed consumer profiling and polling, and title-by-title coverage of licensing and commissioning, to provide clients with a detailed, comprehensive, and accurate view of the global entertainment market.

THE ROLE

This role is pivotal in ensuring the seamless flow of data across the organization, focusing on fixing data quality issues, and implementing automated data collection processes.

  • Take ownership of coordinating data collection processes, ensuring data quality standards are met.
  • Build systematic checks across various databases and products to identify and resolve data quality issues.
  • Manage and run automated scripts, validating data and communicating findings with relevant teams.

YOUR EXPERIENCE

The ideal candidate will have a strong background in SQL and/or Python and experience with data quality within a fast paced organisation.

Please apply if you have:

  • Proficiency in SQL or Python, with the ability to query databases, write scripts, and develop automated processes.
  • Strong understanding of data quality and ability to ensure that data is accurate, complete, and consistent.
  • Excellent communication skills with the ability to work collaboratively with cross-functional teams.
  • STEM background with strong academic credentials.

THE BENEFITS

A successful applicant will receive:

  • A salary of up to £50,000 per annum.
  • Opportunity to work for fast paced company with lots of opportunity for progression
  • Hybrid working

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