At a Glance
- Tasks: Analyse large datasets to identify trends and support strategic decisions.
- Company: Dynamic tech company based in Belfast with a collaborative culture.
- Benefits: Competitive salary, comprehensive healthcare benefits, and hybrid work model.
- Why this job: Lead data analysis projects and mentor junior analysts while making impactful decisions.
- Qualifications: Proficiency in SQL, advanced data visualisation, and machine learning skills.
- Other info: Exciting opportunity for career growth in a vibrant tech environment.
The predicted salary is between 36000 - 60000 £ per year.
A dynamic tech company based in Belfast is looking for a Senior Data Analyst. You will analyse large datasets to identify trends and support strategic decisions.
Essential skills include:
- SQL
- Advanced data visualisation
- Machine learning
The role entails leading data analysis projects and mentoring junior analysts. This position is hybrid, requiring onsite presence in Belfast, and offers a competitive salary along with comprehensive healthcare benefits.
Senior Data Analyst – Hybrid (Belfast) employer: Anomali
Contact Detail:
Anomali Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst – Hybrid (Belfast)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those involving SQL and data visualisation. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common interview questions for data analysts and be ready to discuss your experience with machine learning. We want to show them we’re the right fit!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of your progress and provide updates directly.
We think you need these skills to ace Senior Data Analyst – Hybrid (Belfast)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, data visualisation, and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how you can contribute to our team. Let us know what excites you about this role at StudySmarter.
Showcase Your Projects: If you've led any data analysis projects or mentored others, make sure to mention these experiences. We love seeing how you’ve made an impact in previous roles, so share those success stories!
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 position. Plus, it’s super easy!
How to prepare for a job interview at Anomali
✨Know Your Data Tools
Make sure you brush up on your SQL skills and any data visualisation tools mentioned in the job description. Be ready to discuss specific projects where you've used these tools to analyse large datasets and draw insights.
✨Showcase Your Leadership Skills
Since this role involves leading projects and mentoring junior analysts, prepare examples of how you've successfully led teams or guided others in previous roles. Highlight your ability to communicate complex data findings in an understandable way.
✨Prepare for Technical Questions
Expect some technical questions related to machine learning and data analysis methodologies. Review key concepts and be ready to explain how you've applied them in real-world scenarios. Practising with mock interviews can help you feel more confident.
✨Understand the Company Culture
Research the company’s values and culture. Being a dynamic tech company, they might appreciate innovative thinking and adaptability. Think of ways to demonstrate how your personal values align with theirs during the interview.