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For Companies At a Glance
- Tasks: Create impactful metrics and dashboards to drive data-driven decisions.
- Company: Leading payment technology company in the UK with a focus on innovation.
- Benefits: Hybrid working model, private medical insurance, and pension scheme.
- Why this job: Join a dynamic team and shape the future of payment analytics.
- Qualifications: 5+ years in data analysis, advanced SQL, and BI tool expertise.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading payment technology company in the UK is seeking a Senior Data Analyst to join their Core Data team. The role emphasizes building foundational analytics capabilities, onboarding insights, and developing scalable reporting systems.
Ideal candidates will have:
- Over 5 years of experience in data analysis
- Advanced SQL skills
- Proficiency in BI tools like Looker
The position offers a hybrid working model and a comprehensive benefits package including private medical insurance and a pension scheme.
Senior Data Analyst: Build Trusted Metrics & Dashboards employer: Zilch
Contact Detail:
Zilch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst: Build Trusted Metrics & Dashboards
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your data analysis projects. This is your chance to demonstrate how you've built trusted metrics and dashboards in the past.
✨Tip Number 3
Ace the interview by practising common data analyst questions. Think about how you can showcase your advanced SQL skills and experience with BI tools like Looker. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Analyst: Build Trusted Metrics & Dashboards
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced SQL skills and experience with BI tools like Looker in your application. We want to see how you can bring your expertise to our Core Data team!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Senior Data Analyst role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at Zilch
✨Know Your Data Inside Out
Make sure you brush up on your data analysis skills, especially SQL and BI tools like Looker. Be prepared to discuss specific projects where you've built metrics or dashboards, and how those insights impacted decision-making.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or case studies. Think about how you would approach building scalable reporting systems and be prepared to explain your thought process clearly.
✨Understand the Company’s Analytics Needs
Research the payment technology company and its Core Data team. Familiarise yourself with their products and services, and think about how your experience can help them enhance their analytics capabilities.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current analytics challenges or how they envision the future of their data strategy. This shows you're not just interested in the job, but also in contributing to their success.
