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Data Checking Administrator

Huntress
Posted a day ago, valid for 6 days
Location

Leeds, West Yorkshire LS14 1DZ

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

info
  • A leading tech organization based in Leeds is seeking a data-savvy candidate to manage and analyze large volumes of data while suggesting process improvements.
  • The role requires experience in data management, particularly with spreadsheets, and involves monitoring systems for data accuracy and functionality.
  • Candidates should have a Data Science degree or relevant experience in a data-related role, along with strong analytical and organizational skills.
  • The position offers a salary of £25,000 to £30,000 and requires a commitment of five shifts a week, including weekends and late-night hours.
  • Applications are encouraged from diverse backgrounds, and only candidates with the right to work in the UK will be considered.

A leading Leeds-based tech organisation is looking for a candidate who is comfortable around data - checking large volumes of data, mapping data, and leading on suggesting process improvements. This role involves checking large volumes of data throughout your shift, ensuring that large data sets are correct. You must have experience of working with data.

Key Responsibilities:
  • Manage and analyse large volumes of data to ensure accuracy and functionality across various systems.
  • Monitor systems to ensure data is behaving as it should. If data isn't performing correctly, investigate and resolve the issue.
  • Map data, ensuring it's organised and flows correctly across different systems.
  • Constantly look for ways to improve data processes and identify areas for improvement.
  • Work with spreadsheets, ensuring data is well-managed and accurate.
  • Collaborate with your team to ensure smooth and efficient operations.
  • No direct customer contact, but a vital part of the team ensuring everything runs efficiently behind the scenes.
Shifts & Schedule:
  • 5 shifts a week, including weekends.
  • 3 shifts: 9am - 5pm.
  • 2 late-night shifts per month: until 10pm.
  • Weekend shifts will start at 7am, 9am, or 1pm for 8-hour shifts.
Ideal Candidate:
  • Data Science Graduate or someone with experience in a data-related role.
  • Strong ability to manage large sets of data and work with spreadsheets (Excel, Google Sheets, etc.).
  • An analytical mindset with the ability to identify issues and solve problems when data isn't behaving as expected.
  • A keen eye for improvement opportunities within data processes.
  • Excellent attention to detail and strong organisational skills.

Please apply today if you love data and would like to work for a forward thinking employer in Leeds.

Huntress Search Ltd acts as a Recruitment Agency in relation to all Permanent roles and as a Recruitment Business in relation to all Temporary roles.

We practice a diverse and inclusive recruitment process that ensures equal opportunity for all we work with, irrespective of race, sexual orientation, mental or physical disability, age or gender. As an organisation, we encourage applications from all backgrounds and will ensure measures are met when required, to allow a fair process throughout.

PLEASE NOTE: We can only consider applications from candidates who have the right to work in the UK.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.