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- Tasks: Lead data modelling projects and optimise structures using SQL Server and Snowflake.
- Company: Global leader in digital services with a supportive work culture.
- Benefits: Competitive salary, bonuses, and a collaborative environment.
- Why this job: Make an impact in the insurance domain while advancing your career.
- Qualifications: 5+ years in data modelling with expertise in SQL and Snowflake.
- Other info: Join a dynamic team with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A global leader in digital services is seeking a Data Modelling Lead in London. The successful candidate will have over 5 years of experience in data modeling and strong expertise in SQL Server and Snowflake.
Responsibilities include:
- Analyzing existing data models
- Designing optimized structures
- Collaborating with cross-functional teams
A solid understanding of Insurance domain concepts is essential. The role offers a competitive salary package, including bonuses, in a supportive work environment.
Senior Data Modelling Lead: Snowflake & SQL Analytics in London employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Modelling Lead: Snowflake & SQL Analytics in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data modelling and analytics space. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Modelling Lead role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data models and SQL projects. We want to see how you’ve tackled challenges in the past, especially in the insurance domain. This will give you an edge during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL and Snowflake skills before interviews. We recommend doing some mock interviews with friends or using online platforms to get comfortable discussing your expertise.
✨Tip Number 4
Apply through our website! We make it super easy for you to find and apply for roles like the Data Modelling Lead. Plus, it shows you’re genuinely interested in joining our team. Don’t miss out!
We think you need these skills to ace Senior Data Modelling Lead: Snowflake & SQL Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data modelling and your expertise with SQL Server and Snowflake. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 Modelling Lead position. Share specific examples of your work in the insurance domain and how you've collaborated with cross-functional teams.
Showcase Your Analytical Skills: In your application, highlight your ability to analyse existing data models and design optimised structures. We love candidates who can demonstrate their analytical prowess, so include any relevant metrics or outcomes from your previous roles.
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 shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Infosys
✨Know Your Data Inside Out
Make sure you brush up on your data modelling skills, especially with SQL Server and Snowflake. Be prepared to discuss specific projects where you've optimised data structures and how you approached those challenges.
✨Understand the Insurance Domain
Since a solid understanding of insurance concepts is essential, do your homework! Familiarise yourself with key terms and trends in the industry. This will help you demonstrate your expertise and show that you're genuinely interested in the role.
✨Collaborate Like a Pro
This role involves working with cross-functional teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve navigated different perspectives to achieve common goals.
✨Prepare Questions That Matter
At the end of the interview, you'll likely have the chance to ask questions. Prepare thoughtful ones that show your interest in the company and the role. For instance, ask about their current data challenges or how they envision the future of data modelling in their organisation.
