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- Tasks: Monitor product functionality and analyse data using SQL for cross-functional teams.
- Company: Fast-growing fintech company in the UK with a dynamic work culture.
- Benefits: Flexible work arrangements, performance-related bonuses, and private medical insurance.
- Why this job: Join a thriving fintech and make an impact with your data skills.
- Qualifications: Over 3 years of experience with strong SQL and Python skills.
- Other info: Structured workweek with plenty of perks and growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A fast-growing fintech company in the UK is seeking a Data Analyst to monitor product functionality, analyze data using SQL, and support various cross-functional teams like Finance and Operations.
A successful candidate will have over 3 years of experience, strong problem-solving skills, and proficiency in SQL and Python.
The role offers a structured workweek, flexible arrangements, and numerous perks, including a performance-related bonus and private medical insurance.
Data Ops Lead: SQL, Dashboards & Automation in England employer: Chip UK
Contact Detail:
Chip UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Ops Lead: SQL, Dashboards & Automation in England
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working with data. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, dashboards, and any automation projects you've worked on. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions. Think about how you can demonstrate your problem-solving skills with real-life examples from your experience.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Ops Lead: SQL, Dashboards & Automation in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as well as any relevant projects you've worked on. We want to see how your skills align with the Data Ops Lead role, so don’t hold back!
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. We love seeing enthusiasm and a bit of personality!
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re looking for strong problem-solving skills, so share specific instances where you’ve made an impact.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Chip UK
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL in detail, including specific projects where you've used it to solve problems or improve processes.
✨Showcase Your Analytical Mindset
Prepare examples of how you've analysed data in previous roles. Think about how you identified trends or insights that helped your team or company make better decisions. This will demonstrate your problem-solving skills effectively.
✨Familiarise Yourself with Dashboards
Since dashboards are a key part of the role, be ready to talk about any tools you've used to create them. If you have experience with specific dashboard software, mention it and be prepared to explain how it benefited your previous teams.
✨Understand Cross-Functional Collaboration
This role involves working with various teams like Finance and Operations. Think of examples where you've successfully collaborated across departments. Highlight your communication skills and how you’ve facilitated teamwork to achieve common goals.
