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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 hours, 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 and ensuring data accuracy across analytics pipelines. This analytic-driven role optimizes data for insightful dashboards to support business decision-making.
Senior Data Analyst - Real-Time Analytics with MSF & Kafka in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working with real-time analytics and AWS. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL prowess and any projects involving streaming data or analytics dashboards. This will help us see your practical experience and how you can contribute to our team.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of MSF and Kafka. We love candidates who can discuss their experiences and share how they’ve tackled challenges in real-time data analysis.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate individuals ready to make an impact in data analytics.
We think you need these skills to ace Senior Data Analyst - Real-Time Analytics with MSF & Kafka in London
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've used SQL to tackle real-time data challenges, so share specific examples that showcase your skills.
Demonstrate Your Data Analytics Experience: When writing your application, focus on your experience with data analytics. Tell us about projects where you've analysed streaming data and how you’ve designed datasets in Amazon Redshift or Aurora. We love seeing practical applications of your skills!
Mentorship Matters: Since this role involves mentoring analysts, don’t forget to mention any experience you have in guiding others. Share stories about how you've helped colleagues grow their skills or improve processes – it shows us you're a team player!
Tailor Your Application: Take the time to tailor your application to our job description. Use keywords from the posting and align your experiences with the responsibilities listed. This helps us see why you’re the perfect fit for the Senior Data Analyst role!
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 would leverage them in real-time analytics scenarios.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using streaming data. Think about how you would design datasets in Amazon Redshift and Aurora, and be ready to explain your thought process clearly.
✨Showcase Your Mentoring Experience
As this role involves mentoring analysts, be ready to share examples of how you've guided others in the past. Highlight your leadership style and how you ensure data accuracy across analytics pipelines.
