National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Quality Executive - Part Time (17 hpw)

Brackley
1 week ago
Create job alert

Data Quality Executive -Maternity Cover (Part-Time, 12-18 Month Fixed-Term Contract)

  • Location: Remote (occasional monthly travel required)
  • Contract Type: Fixed-Term (12-18 months)
  • Hours: 17 hours per week, flexible working between Tuesday-Friday, 8am-6pm
  • Start Date: ASAP, with handover period leading to maternity cover from October 2025
  • Salary / Wage: Up to £15.11/ph / £27,502 FTE (DOE) + home working allowance + reimbursed expenses
    Our client, a specialist provider of data reporting platforms within the wholesale and retail sector, is seeking a meticulous and highly organisedData Quality Executiveto join their team on a fixed-term basis to cover maternity leave. The role plays a pivotal part in maintaining the integrity and reliability of client-facing data solutions.
    This position would suit a detail-oriented professional who thrives on process, is self-motivated, and values accuracy and precision in data handling.
    Part-Time Data Quality Executive - Key Responsibilities:
  • Review and cleanse data exports received from the technical team to identify anomalies or issues (e.g., missing data, unusual values).
  • Apply accurate product attributes to data, focusing on high-impact items.
  • Ensure data accuracy and maintain timeliness in updates to support quality client reporting.
  • Collaborate with internal colleagues to manage the smooth flow of import/export files and resolve queries efficiently.
  • Monitor and uphold internal classification KPIs and support continuous improvement in data handling practices.
  • Provide regular feedback and raise any potential improvements to systems or processes.
    Candidate Profile - Part-Time Data Quality Executive:
  • Demonstrates a high degree of attention to detail and a methodical approach to tasks.
  • Comfortable working independently in a remote setting, with the initiative to seek guidance when necessary.
  • Highly organised with the ability to multitask and manage varied priorities effectively.
  • Strong working knowledge of Excel (including VLOOKUP, pivot tables, and large dataset navigation).
  • Confident and professional communicator, both in written and verbal form.
  • Interested in data and technology, and enjoys learning new tools and systems.
  • Possesses a numerate mindset and is comfortable interpreting and validating figures.
    Part Time Data Quality Executive -Additional Information:
    A company laptop and homeworking allowance are provided. While primarily remote, attendance at monthly team meetings in Milton Keynes or Brackley is required.
    LOOKING FOR A FULL-TIME HYBRID ROLE?
    This role may be combined with a separate Client Services Assistant opportunity (approx. 21 hours/week) for candidates seeking full-time hours and a broader operational remit. This complementary position would suit someone with an Office Manager or Team Leader persona who is confident in triaging user support and client communications.
    Key TAGS:
  • Data Cleansing
  • Excel (VLOOKUP, Pivot Tables)
  • Remote Working
  • Attention to Detail
  • Client Data Integrity

Related Jobs

View all jobs

Data Quality Executive and Client Services Assistant

Data Quality Executive (Permanent)

Sales Executive

Volkswagen Sales Executive (commercial vehicles)

Data Quality Specialist

Planning Analyst (Insurance Sector)

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.

Top 10 Mistakes Candidates Make When Applying for Data-Science Jobs—And How to Avoid Them

Trying to land your next data-science role? Avoid the ten most common mistakes UK candidates make—complete with practical fixes, expert tips and vetted resources to help you secure that offer. Introduction From real-time analytics teams in London fintechs to AI research labs in Cambridge, demand for data-science talent has never been hotter. Yet recruiters scanning CVs on boards like DataCareer’s UK data-engineering & data-science feed still reject most applicants long before interview—usually for mistakes that take minutes to fix. Below you’ll find the ten costliest errors we see, each paired with an actionable remedy and a trusted link for deeper reading. Bookmark this checklist before you press Apply.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.