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For Companies At a Glance
- Tasks: Enhance product offerings through data-driven insights and complex analysis.
- Company: Leading financial services organisation in the UK with a vibrant team.
- Benefits: Competitive salary, career growth, and a dynamic work environment.
- Why this job: Make impactful contributions in the automotive data sector.
- Qualifications: 5-8 years in product management and expertise in data analysis.
- Other info: Collaborate with stakeholders and lead cross-functional teams.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial services organization in the United Kingdom is seeking a Senior Business Analyst to enhance product offerings through data-driven insights and complex analysis. This role involves collaboration with stakeholders, managing product backlogs, and leading cross-functional teams.
Ideal candidates will have:
- 5-8 years of experience in product management
- Expertise in data analysis
- Proficiency in tools such as AWS and Python
Join a vibrant team where your contributions are valued, and grow within the dynamic automotive data sector.
Senior Data & Product Analyst – ML/DaaS Focus employer: ACCA Careers
Contact Detail:
ACCA Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data & Product Analyst – ML/DaaS Focus
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in financial services or data analysis. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those involving AWS and Python. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Ace the interview by practising common questions related to product management and data analysis. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 and engaged with our platform.
We think you need these skills to ace Senior Data & Product Analyst – ML/DaaS Focus
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your expertise in data analysis and product management, especially with tools like AWS and Python. We want to see how you can bring value to our team!
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 Senior Data & Product Analyst role. Share specific examples of how you've enhanced product offerings through data-driven insights in the past.
Showcase Your Collaboration Skills: Since this role involves working with stakeholders and leading cross-functional teams, make sure to highlight your collaboration skills. We love candidates who can demonstrate their ability to manage product backlogs and work effectively with others.
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. Plus, we’re excited to see what you can bring to our vibrant team!
How to prepare for a job interview at ACCA Careers
✨Know Your Data Tools
Make sure you brush up on your knowledge of AWS and Python before the interview. Be ready to discuss how you've used these tools in past projects, as this will show your technical expertise and ability to handle data-driven insights.
✨Showcase Your Collaboration Skills
Since the role involves working with stakeholders and cross-functional teams, prepare examples that highlight your experience in collaboration. Think of specific instances where your teamwork led to successful product outcomes.
✨Understand the Product Backlog
Familiarise yourself with the concept of product backlogs and how they are managed. Be prepared to discuss your approach to prioritising tasks and how you ensure that the most valuable features are delivered first.
✨Demonstrate Your Analytical Thinking
Prepare to showcase your analytical skills by discussing complex analyses you've conducted in the past. Use real-world examples to illustrate how your insights have driven product enhancements and decision-making.
