At a Glance
- Tasks: Identify and manage tenant data, ensuring accuracy and compliance across systems.
- Company: Join a forward-thinking housing organisation dedicated to community support.
- Benefits: Enjoy flexible hours, competitive pay, and opportunities for personal growth.
- Other info: Be part of a supportive team with a focus on career development.
- Why this job: Make a difference by improving data management in housing systems.
- Qualifications: Attention to detail and experience with data management preferred.
The predicted salary is between 30000 - 40000 £ per year.
Main purpose of the job: Identify gaps in data within Housing systems.
Data Collection Officer: Gather, record and manage tenant information using a variety of methods, ensuring it is up to date and compliant in all relevant systems.
Before applying for this role, please read the following information about this opportunity found below.
Main Duties and Responsibilities:
- Maintain accurate and up to date tenant records on various systems, including personal information and tenancy details.
- Produce reports on tenant data.
Collections Data Officer in Beeston employer: JOB SWITCH LTD
As a Collections Data Officer, you will thrive in a supportive and collaborative work environment that prioritises employee growth and development. Our company offers comprehensive training programmes, flexible working arrangements, and a strong commitment to diversity and inclusion, making it an excellent place for those seeking meaningful and rewarding employment in the housing sector.
StudySmarter Expert Advice🤫
We think this is how you could land Collections Data Officer in Beeston
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We think you need these skills to ace Collections Data Officer in Beeston
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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