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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 exciting automotive data sector.
- Qualifications: 5-8 years in product management, data analysis expertise, AWS and Python skills.
- 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services sector on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Research the company and its products thoroughly. Be ready to discuss how your experience with data analysis and tools like AWS and Python can enhance their offerings.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your past projects, especially those involving complex analysis and product management. This will give you an edge over other candidates.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're genuinely interested in joining our vibrant team in the automotive data sector.
We think you need these skills to ace Senior Data & Product Analyst – ML/DaaS Focus in London
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 passionate about the role and how your background aligns with our needs. Don’t forget to mention any relevant projects or achievements that showcase your analytical skills.
Showcase Your Collaboration Skills: Since this role involves working with various stakeholders and cross-functional teams, make sure to highlight your teamwork experiences. We love candidates who can demonstrate their ability to manage product backlogs and lead discussions effectively.
Apply Through Our Website: We encourage you to apply directly 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. We can’t wait to see what you bring to the table!
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 leading cross-functional teams, prepare examples that highlight your collaboration skills. Think of specific instances where you successfully managed product backlogs or facilitated teamwork to achieve a common goal.
✨Prepare for Complex Analysis Questions
Expect questions that test your analytical thinking. Brush up on your problem-solving techniques and be ready to walk through your thought process on how you approach complex data analysis. This will demonstrate your capability to enhance product offerings.
✨Emphasise Your Experience
With 5-8 years of experience being ideal, make sure to highlight your relevant background. Prepare a concise narrative of your career journey, focusing on key achievements in product management and data analysis that align with the job requirements.
