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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: Strong experience with AWS Flink, SQL, and 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving AWS Managed Service for Apache Flink. We want to see how you’ve transformed data into insights, so make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and analytics skills. We recommend practising complex queries and thinking through how you’d tackle real-time data challenges. Be ready to discuss your experience with Amazon MSK and Redshift!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Analyst
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 data analysis 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 analytics, make sure to mention them! We’re interested in seeing how you’ve applied your skills in real-world scenarios, especially with tools like Amazon Redshift and Aurora.
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’s super easy – just follow the prompts!
How to prepare for a job interview at N Consulting Global
✨Know Your AWS Flink Inside Out
Make sure you brush up on your knowledge of AWS Managed Service for Apache Flink. Be ready to discuss how you've used it in real-time data analysis and be prepared to share specific examples of projects where you've transformed streaming data into actionable insights.
✨SQL Skills Are Key
Since advanced SQL is a must-have, practice writing complex queries before the interview. You might be asked to solve a problem on the spot, so being comfortable with SQL syntax and analytical logic will give you a leg up.
✨Showcase Your Data Storytelling
Prepare to explain how you've translated business requirements into data-driven insights. Think about how you can present your past experiences in a way that highlights your ability to partner with stakeholders and define KPIs or dashboards.
✨Familiarise Yourself with CI/CD Processes
Since this role involves supporting analytics deployments through CI/CD processes, make sure you understand how these workflows work. Be ready to discuss any experience you have with CloudFormation-managed infrastructure and how it relates to analytics.
