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For Companies At a Glance
- Tasks: Analyse complex datasets and design APIs to drive data-driven decisions.
- Company: Leading law and professional services organisation in Central London.
- Benefits: Competitive salary up to £65,000 and hybrid working model.
- Why this job: Join a dynamic team and make an impact through data integration.
- Qualifications: Proficiency in SQL, Python or R, and experience with cloud platforms like Azure.
- Other info: Permanent role with opportunities for professional growth.
The predicted salary is between 39000 - 65000 £ per year.
A leading law and professional services organisation is seeking a skilled Data Analyst for a permanent hybrid role in Central London. The successful candidate will focus on API design and integrate systems, driving data-driven decision-making.
Key responsibilities include:
- Analyzing complex datasets
- Designing APIs
- Maintaining data documentation
Candidates should have proficiency in SQL and scripting languages such as Python or R, along with cloud platforms like Azure. The salary is up to £65,000 per annum based on experience.
Data Analyst - API & Data Integration (Hybrid, London) employer: Computappoint
Contact Detail:
Computappoint Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - API & Data Integration (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in data roles. LinkedIn is your best mate here – connect, engage, and don’t be shy to ask for informational chats.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving API design or data integration. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and scripting languages. Practice common data analysis scenarios and be ready to discuss how you've used these skills in real-world situations.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Analyst - API & Data Integration (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and API design. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex datasets or integrated systems in the past. We’re looking for candidates who can drive data-driven decision-making, so let us know how you’ve done this before!
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 us during the process!
How to prepare for a job interview at Computappoint
✨Know Your APIs
Make sure you brush up on your API design knowledge. Be ready to discuss how you've previously integrated systems and the challenges you faced. Having specific examples will show your expertise and problem-solving skills.
✨Show Off Your SQL Skills
Prepare to demonstrate your SQL proficiency. You might be asked to write queries on the spot, so practice common scenarios. Being able to explain your thought process while solving a problem can really impress the interviewers.
✨Data Documentation Matters
Understand the importance of maintaining data documentation. Be prepared to talk about how you’ve documented your work in the past and why it’s crucial for data integrity and team collaboration. This shows you value clarity and organisation.
✨Cloud Knowledge is Key
Familiarise yourself with Azure and any other cloud platforms mentioned in the job description. If you have experience using these tools, share specific projects where they played a vital role. This will highlight your technical versatility.
