At a Glance
- Tasks: Analyse complex datasets and design APIs for seamless data integration.
- Company: Leading law and professional services organisation in Central London.
- Benefits: Up to £65,000 salary, hybrid work model, and career growth opportunities.
- Other info: Mid-senior level position with a focus on innovation and collaboration.
- Why this job: Join a dynamic team and drive data-driven decision-making in a pivotal role.
- Qualifications: Experience in data analysis, SQL, and API design required.
The predicted salary is between 39000 - 65000 £ per year.
A leading law and professional services organisation is looking for a technically proficient Data Analyst to join the IT Department within the Strategy & Architecture Team. This role will have a strong focus on API design and integrations between systems. This role is critical in enabling data-driven decision-making and ensuring seamless data exchange across internal systems and external platforms.
Key Responsibilities:
- Analyse and interpret complex datasets to support IT operations and strategic initiatives.
- Design, document, and maintain APIs that facilitate secure and efficient integration of data between systems.
- Create data dictionaries that describe data structures, elements, their meanings, and relationships within a dataset or database.
- Create Business Glossary and describe business terms, and their definitions, ensuring they are consistent across the enterprise.
- Champion the standardization of data documentation across projects and teams.
- Document all levels of data-related concepts - models, table, column, business terms. Ensure all documentation covers the full spectrum of data analysis, from high-level models down to individual fields.
Demonstrated experience in data analysis within an IT or technical environment. Strong proficiency in SQL and scripting languages including Python or R. Practical experience with RESTful API design, documentation (e.g. Swagger/OpenAPI), and testing tools (e.g. Postman). Working knowledge of cloud platforms (primarily Azure) and associated data services. Strong understanding of data modelling, ETL workflows, and system integration.
Data Analyst in England employer: Computappoint
Join a leading law and professional services organisation in Central London as a Data Analyst, where you will thrive in a hybrid work environment that promotes flexibility and work-life balance. With a strong focus on employee growth, the company offers opportunities for professional development and skill enhancement, particularly in API design and data integration. Experience a collaborative work culture that values innovation and encourages contributions to data-driven decision-making, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Analyst role.
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL and API knowledge. We recommend practising common data analysis scenarios and being ready to showcase your skills. Remember, confidence is key!
✨Tip Number 3
Don’t forget to tailor your approach! When you apply through our website, make sure to highlight your experience with data modelling and cloud platforms. Show them you’re the perfect fit for their team!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds. We believe a little courtesy can make a big difference!
We think you need these skills to ace Data Analyst in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data analysis, API design, and any relevant technical skills like SQL or Python. We want to see how your background fits perfectly with what we're looking for!
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. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Technical Skills:Since this role requires strong technical proficiency, don’t shy away from showcasing your skills in SQL, RESTful APIs, and cloud platforms like Azure. We love seeing practical examples of your work, so include any relevant projects or achievements!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Computappoint
✨Know Your Data Inside Out
Make sure you’re familiar with the types of datasets you might be working with. Brush up on your SQL skills and be ready to discuss how you've analysed complex data in the past. Being able to talk about specific examples will show your technical proficiency.
✨API Knowledge is Key
Since this role focuses on API design, ensure you understand RESTful APIs and can explain their importance in data integration. Be prepared to discuss any experience you have with tools like Postman or documentation standards like Swagger/OpenAPI.
✨Showcase Your Documentation Skills
Highlight your experience in creating data dictionaries and business glossaries. Bring examples of your previous work if possible, as this will demonstrate your ability to standardise data documentation across projects and teams.
✨Familiarity with Cloud Platforms
As the role involves working with cloud platforms, particularly Azure, make sure you can discuss your experience with cloud data services. Mention any relevant projects where you’ve utilised these technologies to support data-driven decision-making.
