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For Companies At a Glance
- Tasks: Drive real-time analytics and optimise data for insightful dashboards.
- Company: Leading consulting firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make an impact by transforming data into actionable insights for business decisions.
- Qualifications: Strong SQL skills and expertise in data analytics required.
- Other info: Mentor junior analysts and ensure data accuracy across analytics pipelines.
The predicted salary is between 43200 - 72000 £ per year.
A leading consulting firm in Greater London is seeking a Senior Data Analyst to drive real-time analytics using AWS Managed Service for Apache Flink (MSF). The ideal candidate will have strong SQL skills and data analytics expertise to analyze streaming data from Amazon MSK and design datasets in Amazon Redshift and Aurora.
Responsibilities include:
- Mentoring analysts
- Ensuring data accuracy across analytics pipelines
- Optimizing data for insightful dashboards to support business decision-making
Senior Data Analyst - Real-Time Analytics with MSF & Kafka employer: N Consulting Global
Contact Detail:
N Consulting Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Real-Time Analytics with MSF & Kafka
✨Tip Number 1
Network like a pro! Reach out to professionals in the data analytics field, especially those working with MSF and Kafka. Join relevant LinkedIn groups or attend meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects and any real-time analytics work you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss how you've used AWS services, particularly MSF and Amazon Redshift, in your previous roles. We want to see your expertise shine!
✨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 Analyst - Real-Time Analytics with MSF & Kafka
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you can manipulate and analyse data, so include specific examples of your past work with SQL that demonstrate your skills.
Tailor Your Experience: When writing your application, tailor it to the role. Mention your experience with real-time analytics and any relevant tools like AWS Managed Service for Apache Flink or Kafka. This shows us you understand what we're looking for!
Highlight Mentoring Experience: If you've mentored other analysts before, don’t forget to mention it! We value teamwork and knowledge sharing, so let us know how you've helped others grow in their data analytics journey.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at N Consulting Global
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries and how you've used SQL in past projects, especially in relation to real-time data analytics.
✨Familiarise Yourself with AWS Services
Since the role involves AWS Managed Service for Apache Flink and Amazon MSK, it’s crucial to understand these services. We recommend reviewing their documentation and thinking about how you've applied similar technologies in your previous roles.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using data analytics. Think of examples where you've optimised data pipelines or created insightful dashboards, and be ready to explain your thought process.
✨Showcase Your Mentoring Experience
As this role involves mentoring analysts, be ready to discuss your experience in guiding others. Share specific examples of how you've helped team members grow and how you ensure data accuracy in your projects.
