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- Tasks: Transform pension data and improve processes while communicating with stakeholders.
- Company: Leading consultancy firm with a focus on individual development.
- Benefits: Hybrid work environment, supportive culture, and opportunities for personal growth.
- Why this job: Join a dynamic team and make a difference in the pensions sector.
- Qualifications: Proficiency in Excel and experience with UK pension schemes required.
- Other info: Great opportunity for career advancement in a collaborative setting.
The predicted salary is between 36000 - 60000 £ per year.
A leading consultancy firm is seeking a Pensions - Benefit & Data Correction Specialist to join their Data Solutions Team in Greater London. The role requires proficiency in Excel and experience with UK pension schemes and data transformation projects.
- Key responsibilities include data modeling, stakeholder communication, and process improvements.
The position offers a hybrid work environment with a strong emphasis on individual development and a supportive workplace culture.
Hybrid Pension Data & Benefit Specialist employer: Aon Corporation
Contact Detail:
Aon Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Pension Data & Benefit Specialist
✨Tip Number 1
Network like a pro! Reach out to your connections in the pensions and data sectors. A friendly chat can lead to insider info about job openings or even referrals that could give you the edge.
✨Tip Number 2
Show off your Excel skills! Prepare a mini portfolio showcasing your data transformation projects. This will not only impress potential employers but also demonstrate your hands-on experience with UK pension schemes.
✨Tip Number 3
Practice your stakeholder communication! Role-play interviews with friends or family, focusing on how you’d explain complex data issues in simple terms. This will help you shine during interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you prepare for interviews and make your application stand out. Plus, it’s the best way to stay updated on new opportunities!
We think you need these skills to ace Hybrid Pension Data & Benefit Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with UK pension schemes and data transformation projects. We want to see how your skills align with the role, so don’t be shy about showcasing your proficiency in Excel!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Pensions - Benefit & Data Correction Specialist role. Share specific examples of your past work that relate to data modelling and stakeholder communication.
Showcase Your Communication Skills: Since this role involves stakeholder communication, make sure to highlight your ability to convey complex information clearly. We love candidates who can demonstrate their knack for effective communication in both their CV and cover letter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at Aon Corporation
✨Know Your Pensions Inside Out
Make sure you brush up on your knowledge of UK pension schemes. Familiarise yourself with the latest regulations and trends in the industry, as well as common data issues that arise. This will show your potential employer that you're not just a numbers person but also understand the context behind them.
✨Excel Skills Are Key
Since proficiency in Excel is crucial for this role, practice your skills before the interview. Be ready to discuss specific functions or tools you've used in past projects, like pivot tables or VLOOKUP. If possible, prepare to demonstrate your abilities with a quick exercise during the interview.
✨Communicate Like a Pro
Stakeholder communication is a big part of this job, so be prepared to showcase your communication skills. Think of examples where you've successfully communicated complex data findings to non-technical stakeholders. This will highlight your ability to bridge the gap between data and decision-making.
✨Show Your Process Improvement Mindset
The role emphasises process improvements, so come armed with examples of how you've identified inefficiencies in previous roles and what steps you took to improve them. This demonstrates your proactive approach and commitment to continuous improvement, which is highly valued in consultancy.
