Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead real-time data analysis and transform streaming data into actionable insights.
- Company: Join a forward-thinking company that values data-driven decision-making.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make an impact by turning complex data into meaningful insights that drive business success.
- Qualifications: Experience with AWS Flink, advanced SQL skills, and a passion for data analytics.
- Other info: Collaborative environment with mentorship opportunities and cutting-edge technology.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Senior Data Analyst with strong experience in real-time and streaming analytics, specializing in AWS Managed Service for Apache Flink (MSF). This role is analytics-driven, focused on transforming high-volume streaming and relational data into meaningful insights, dashboards, and analytical outputs that support business decision-making.
Key Responsibilities
- Lead real-time data analysis using AWS Managed Service for Apache Flink (MSF) as the primary analytics platform.
- Analyze streaming data from Amazon MSK (Kafka) to identify trends, patterns, and anomalies.
- Design and optimize analytical datasets in Amazon Redshift and Amazon Aurora.
- Write complex SQL queries and analytical logic for reporting and ad-hoc analysis.
- Translate business requirements into data-driven insights and metrics.
- Partner with stakeholders to define KPIs, dashboards, and analytical models.
- Ensure data accuracy, consistency, and quality across analytics pipelines.
- Support analytics deployments through CI/CD processes and CloudFormation-managed infrastructure.
- Use Kiro IDE for analytics development and collaboration.
- Mentor junior analysts and contribute to analytics best practices.
- (Optional) Apply machine learning techniques for predictive or advanced analytics use cases.
Mandatory Skills
- Hands-on experience with AWS Managed Service for Apache Flink (MSF) – Primary Skill.
- Strong data analytics expertise, including advanced SQL and data interpretation.
- Experience analyzing streaming data via Amazon MSK (Managed Streaming for Apache Kafka).
- Strong working knowledge of Amazon Redshift and Amazon Aurora.
- Familiarity with CI/CD pipelines supporting analytics workflows.
- Experience working with AWS CloudFormation.
Senior Data Analyst 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 in London
✨Tip Number 1
Network like a pro! Reach out to current employees at companies you're interested in, especially those in data analytics roles. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your real-time data analysis projects, especially those using AWS Managed Service for Apache Flink. This will help you stand out and demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and analytical logic skills. Be ready to tackle real-world problems and explain how you've transformed data into actionable insights in past roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it makes the application process smoother for everyone involved.
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS Managed Service for Apache Flink and other relevant skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your data analytics expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about real-time analytics and how you can contribute to our team. We love seeing candidates who can connect their experiences to our mission.
Showcase Your Projects: If you've worked on any projects involving streaming data or complex SQL queries, make sure to mention them. We appreciate candidates who can demonstrate their hands-on experience and problem-solving skills through real examples.
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!
How to prepare for a job interview at N Consulting Global
✨Know Your Tools Inside Out
Make sure you’re well-versed in AWS Managed Service for Apache Flink and other tools mentioned in the job description. Brush up on your knowledge of Amazon MSK, Redshift, and Aurora. Being able to discuss specific use cases or projects where you've used these technologies will show that you're not just familiar, but truly experienced.
✨Prepare Real-World Examples
Think of concrete examples from your past work where you’ve transformed streaming data into actionable insights. Be ready to explain how you identified trends or anomalies and what impact your analysis had on business decisions. This will demonstrate your analytical skills and your ability to translate data into value.
✨Brush Up on SQL Skills
Since writing complex SQL queries is a key part of this role, practice your SQL skills before the interview. Prepare to solve some sample queries or discuss how you’ve optimised queries in the past. This will help you showcase your technical prowess and problem-solving abilities.
✨Engage with Stakeholders
Be prepared to discuss how you’ve partnered with stakeholders in previous roles. Think about how you defined KPIs and created dashboards that met their needs. Showing that you can communicate effectively and understand business requirements will set you apart as a candidate who can bridge the gap between data and decision-making.
