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- Tasks: Analyse complaints data to improve service quality and support performance management.
- Company: Notting Hill Genesis, a leading housing association in London.
- Benefits: Generous pension scheme and excellent annual leave allowances.
- Other info: Join a supportive team focused on inclusivity and professional growth.
- Why this job: Make a real difference in service quality while working in a diverse environment.
- Qualifications: Experience in data analysis and advanced Microsoft Excel skills required.
The predicted salary is between 30000 - 40000 £ per year.
Notting Hill Genesis, a major housing association in London, seeks a Complaints Service Data Officer on an 18-month fixed-term contract. The successful candidate will analyze complaints data to enhance service quality and support performance management.
Required qualifications include:
- Significant experience in data analysis
- Advanced Microsoft Excel capabilities
- The ability to present findings to non-technical audiences
Along with working in a diverse and inclusive workplace, benefits include a generous pension scheme and excellent annual leave allowances.
Complaints Data & Performance Analyst in London employer: Notting Hill Genesis
Contact Detail:
Notting Hill Genesis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Complaints Data & Performance Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Notting Hill Genesis on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by practising common questions related to data analysis and performance management. We can even role-play with a friend to boost our confidence!
✨Tip Number 3
Showcase your Excel skills! Bring along examples of your work or create a mini-project that highlights your data analysis prowess. This will impress the hiring team and set us apart!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can track our progress easily!
We think you need these skills to ace Complaints Data & Performance Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and showcases your advanced Excel skills. We want to see how your background aligns with the role of Complaints Data & Performance Analyst, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing service quality through data analysis. We love seeing candidates who can connect their personal motivations to our mission.
Showcase Your Presentation Skills: Since you'll be presenting findings to non-technical audiences, include examples of how you've done this in the past. We appreciate candidates who can communicate complex data in an easy-to-understand way!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and keep track of all the amazing talent out there!
How to prepare for a job interview at Notting Hill Genesis
✨Know Your Data Inside Out
Make sure you’re well-versed in data analysis techniques and tools, especially Microsoft Excel. Brush up on your skills and be ready to discuss how you've used data to drive improvements in service quality in previous roles.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse specific complaints data scenarios. Think about how you would approach these situations and be prepared to explain your thought process clearly and logically.
✨Tailor Your Presentation Skills
Since you'll need to present findings to non-technical audiences, practice explaining complex data insights in simple terms. Use examples from your past experiences to demonstrate your ability to communicate effectively.
✨Show Your Passion for Service Improvement
Express your enthusiasm for enhancing service quality through data analysis. Share any relevant experiences where your insights led to tangible improvements, showing that you’re not just about numbers but also about making a difference.