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- Tasks: Manage and optimise data while ensuring compliance and providing insights.
- Company: Leading global advisory firm with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and professional growth opportunities.
- Why this job: Join a dynamic team and make a real impact in the pensions sector.
- Qualifications: Strong data management experience, SQL proficiency, and knowledge of pension regulations.
- Other info: Exciting career development in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading global advisory firm in Redhill seeks a Data Specialist to manage and optimise data across the Outsourcing GB business. The role involves ensuring compliance with regulations, providing data-driven insights, and engaging with stakeholders.
The ideal candidate will have strong experience in data management, proficiency in SQL, and knowledge of pension regulations. Alongside competitive benefits, this position offers opportunities for professional growth.
Data Governance & Analytics Specialist - Pensions (Hybrid) in Redhill employer: Willis Towers Watson
Contact Detail:
Willis Towers Watson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Governance & Analytics Specialist - Pensions (Hybrid) in Redhill
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your data management experience and SQL proficiency. This will help us stand out during interviews.
✨Tip Number 3
Be ready for those tricky questions! Brush up on pension regulations and be prepared to discuss how you’ve ensured compliance in past roles. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly.
We think you need these skills to ace Data Governance & Analytics Specialist - Pensions (Hybrid) in Redhill
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data management and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data governance and how your background fits with our needs. Let us know what excites you about working in the pensions sector.
Showcase Your Compliance Knowledge: Since this role involves ensuring compliance with regulations, make sure to mention any relevant experience you have in this area. We’re looking for someone who understands the ins and outs of pension regulations!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Willis Towers Watson
✨Know Your Data Inside Out
Make sure you brush up on your data management skills, especially in SQL. Be prepared to discuss how you've used data to drive insights in previous roles, particularly in relation to pensions or similar sectors.
✨Understand the Regulations
Familiarise yourself with the latest pension regulations and compliance requirements. Being able to articulate how you ensure compliance in your work will show that you’re not just technically skilled but also aware of the legal landscape.
✨Engage with Stakeholders
Think about examples where you've successfully engaged with stakeholders. Prepare to share how you’ve communicated complex data insights to non-technical audiences, as this is crucial for the role.
✨Show Your Growth Mindset
This position offers opportunities for professional growth, so be ready to discuss your career aspirations. Talk about how you plan to develop your skills further and contribute to the company’s success in the long run.
