Data Quality Analyst

This role is for a Data Quality Analyst, offering £400-£425 per day, based in London (3 days in-office weekly). Requires experience in data quality initiatives, strong communication skills, and proficiency in data analysis tools. Contract duration exceeds 6 months.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
218
🗓️ - Date discovered
January 15, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
Fixed Term
🔒 - Security clearance
Unknown
📍 - Location detailed
London Area, United Kingdom
🧠 - Skills detailed
#Data Analysis #Database Querying #Data Management #Data Quality #Documentation #Scripting
Role description
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DATA QUALITY ANALYST

£400-£425 PER DAY

LONDON (3 DAYS IN THE OFFICE PER WEEK)

A leading organisation is seeking a skilled Data Analyst to join their team on a temporary basis. This contract role offers the opportunity to contribute to a key data management and governance program focused on enhancing data quality through the implementation of standards and best practices.

The Role:

As a Data Analyst specialising in data quality, you will play a crucial part in supporting this organisation-wide program. Your responsibilities will include:
• Investigating and identifying the underlying causes of data quality problems and implementing effective solutions.
• Contributing to the documentation of essential data processes and movements.
• Gathering requirements from various stakeholders and facilitating communication between technical and business teams.
• Providing support for data analysis and reporting requests from stakeholders as needed.

Required Skills and Experience:

The ideal candidate will possess the following qualifications:
• Demonstrable experience as a Data Analyst with a focus on data quality or in a comparable role.
• Experience supporting data quality or governance initiatives.
• Excellent communication skills, with the ability to effectively communicate with a diverse range of stakeholders, both technical and non-technical.
• Advanced proficiency in spreadsheet software, database querying languages, and scripting languages commonly used for data analysis.