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- Tasks: Analyse data and provide insights using advanced tools and technologies.
- Company: Dynamic tech firm based in London, fostering innovation and collaboration.
- Benefits: Competitive pay, hands-on experience, and potential for contract extension.
- Why this job: Join a cutting-edge team and enhance your data analytics skills in a vibrant environment.
- Qualifications: Experience with MSF, AWS services, and strong data analytics skills required.
- Other info: Onsite role with opportunities for professional growth and networking.
The predicted salary is between 43200 - 72000 £ per year.
Location: London, UK (Onsite – 5 days/week)
Job Type: Sub-Contract (3 months, extendable)
Key Skills & Requirements:
- Primary Skill: Hands-on experience with MSF (Managed Service for Apache Flink) – mandatory
- Strong expertise in Data Analytics and data-driven insights
- Experience with AWS services including MSK (Managed Streaming for Apache Kafka), Amazon Redshift, and Amazon Aurora
- Proficiency in CI/CD pipelines and AWS CloudFormation
Senior Data Analyst employer: ixceed solutions
Contact Detail:
ixceed solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Get familiar with the company culture before your interview. Research their values and recent projects, especially those related to data analytics. This will help us tailor our responses and show that we’re genuinely interested in the role.
✨Tip Number 2
Practice common interview questions related to data analytics and AWS services. We can even do mock interviews with friends or colleagues to build confidence. The more we prepare, the better we’ll perform!
✨Tip Number 3
Showcase our hands-on experience with MSF and other relevant tools during the interview. We should be ready to discuss specific projects where we’ve used these skills to drive insights. Real examples make a big impact!
✨Tip Number 4
Don’t forget to follow up after the interview! A quick thank-you email reiterating our interest in the position can set us apart from other candidates. Plus, it shows we’re proactive and enthusiastic about the opportunity.
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 hands-on experience with MSF and other key skills mentioned in the job description. We want to see how your background aligns with what we're looking for!
Showcase Your Data Skills: When writing your application, emphasise your expertise in data analytics and any relevant projects you've worked on. We love seeing real-world examples of how you've used data to drive insights.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your experience and skills shine through without unnecessary fluff.
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!
How to prepare for a job interview at ixceed solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in MSF and the AWS services mentioned in the job description. Brush up on your knowledge of Managed Streaming for Apache Kafka, Amazon Redshift, and Amazon Aurora. Being able to discuss your hands-on experience with these tools will show that you’re not just familiar but truly capable.
✨Showcase Your Data Analytics Skills
Prepare to share specific examples of how you've used data analytics to drive insights in previous roles. Think about projects where your analysis led to significant business decisions or improvements. This will demonstrate your ability to turn data into actionable strategies.
✨Understand CI/CD Pipelines
Since proficiency in CI/CD pipelines is a requirement, be ready to discuss your experience with them. Talk about how you’ve implemented or improved these processes in past projects. This shows that you can contribute to efficient workflows right from the start.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data strategy or the team’s current projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. Plus, it makes for a more engaging conversation!
