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- Tasks: Lead analysis and design of data solutions in a collaborative environment.
- Company: Top financial services firm in the UK with a strong vision.
- Benefits: Competitive salary, family-focused benefits, and career development opportunities.
- Why this job: Shape impactful data initiatives and work with talented teams.
- Qualifications: Experience in data analysis and collaboration with cross-functional teams.
The predicted salary is between 65000 - 75000 £ per year.
A leading financial services company in the United Kingdom is seeking a Senior Business Analyst - Data to shape the delivery of data solutions. The successful candidate will collaborate with Product Owners and Engineers to ensure that data initiatives align with the company's vision.
Responsibilities include:
- Leading analysis for data requirements
- Collaborating with teams to design efficient data solutions
This role offers a competitive salary ranging from £65,000 to £75,000 and additional family-focused benefits.
Senior Data Solutions Analyst employer: OSB Group
Contact Detail:
OSB Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Solutions Analyst
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services sector on LinkedIn. A friendly message can open doors and lead to referrals that might just land you that Senior Data Solutions Analyst role.
✨Tip Number 2
Prepare for those interviews! Research common questions for data analyst roles and practice your responses. We recommend using the STAR method to structure your answers, showcasing your experience in leading analysis and collaborating with teams.
✨Tip Number 3
Showcase your skills! Create a portfolio of your past projects or case studies that highlight your ability to design efficient data solutions. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Solutions Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Solutions Analyst role. Highlight your experience with data analysis and collaboration with Product Owners and Engineers, as these are key aspects of the job.
Showcase Relevant Skills: Don’t forget to showcase your skills in designing efficient data solutions. Use specific examples from your past work to demonstrate how you’ve successfully led data initiatives that align with a company's vision.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data solutions and how your background makes you a perfect fit for our team at StudySmarter.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at OSB Group
✨Know Your Data Inside Out
As a Senior Data Solutions Analyst, you’ll need to demonstrate a deep understanding of data analysis and solutions. Brush up on your knowledge of data requirements and be ready to discuss specific examples of how you've led data initiatives in the past.
✨Collaborate Like a Pro
This role involves working closely with Product Owners and Engineers. Prepare to showcase your collaboration skills by discussing previous projects where teamwork was key to delivering successful data solutions. Highlight how you’ve navigated challenges in cross-functional teams.
✨Align with Their Vision
Make sure you understand the company’s vision and how data solutions play a role in it. Research their current data initiatives and be prepared to suggest how you can contribute to aligning these with their strategic goals during the interview.
✨Prepare for Technical Questions
Expect technical questions that assess your analytical skills and problem-solving abilities. Review common data analysis methodologies and be ready to tackle hypothetical scenarios that may arise in the role. Practising with mock interviews can help you feel more confident.
