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- Tasks: Join our team as a SQL Data Analyst, developing and optimising big data products.
- Company: Be part of a leading telecommunications company in London, innovating with data.
- Benefits: Enjoy hybrid work, competitive pay, and the chance to enhance your skills.
- Why this job: Work in an agile environment, making a real impact with data insights for clients.
- Qualifications: Strong SQL skills, problem-solving aptitude, and experience with Git are essential.
- Other info: This is a 12-month contract role, requiring on-site presence twice a week.
The predicted salary is between 60000 - 85000 £ per year.
We are looking for a Data Analyst with strong experience working with SQL and Git for Change Control to join our client in the Telecommunication industry. The successful candidate for this role will be able to work on site in Paddington two days a week (every Wednesday and Thursday). The Data Analyst for this role will develop and operate big data products. You will build, maintain, optimise and automate data processes through pipelines, scripts and script control to maintain and improve data products, used to deliver insights to a wide range of clients. Working within an agile product development team, the role is jointly accountable for the quality, development and operation of the data products.
Required Skills/Experience
- Experience in writing and deploying production ready code
- Aptitude for problem solving
- Strong understanding of databases and experience in writing analytical queries and data processes in SQL and or Python
- Able to comprehend, define, and implement changes independently
- Strong track record of defining and implementing data process changes independently
- Self-motivated with good organisational and time management skills
- Experienced in effective use of Git or similar for change control
- Business awareness and aptitude for building and developing data products
- Experienced in developing complex methodology, analysing data and visualising complex ideas to customers
- Good standard of written and spoken English
Job Responsibilities/Objectives
- Developing software or scripts required to deliver data products, including visualisation tools, databases and data processing systems
- Developing new or improving existing methodologies, processes and products, and driving improvements in quality
- Continuous improvement of the ability to deliver changes to products in a regular, reliable, and predictable manner through improving feedback loops throughout the product delivery process
- Developing a thorough understanding of Mobile Network Data and its processing to be able to take full advantage of the data assets
- Respond to technical issues in a professional and timely manner
Desirable Skills/Experience
- Experienced in using CI / CD pipelines
- Experienced in working with data used in transport modelling
- Experienced in working in continuous delivery environment
- Experience in analysing geospatial data and or GIS experience
- Experience with processing large volumes of data
- Tableau or similar data visualisation experience
If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.
SQL Data Analyst - Hybrid/London employer: Square One Resources
Contact Detail:
Square One Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SQL Data Analyst - Hybrid/London
✨Tip Number 1
Familiarise yourself with the specific SQL and Git tools mentioned in the job description. Being able to demonstrate your hands-on experience with these technologies during interviews can set you apart from other candidates.
✨Tip Number 2
Brush up on your problem-solving skills, especially in relation to data processes. Prepare examples of how you've tackled complex data challenges in the past, as this will showcase your aptitude for the role.
✨Tip Number 3
Understand the telecommunications industry and its data needs. Research current trends and challenges in mobile network data to discuss intelligently during your interview, showing your business awareness.
✨Tip Number 4
Practice explaining complex data concepts in simple terms. Since the role involves visualising data for clients, being able to communicate effectively will be crucial in demonstrating your fit for the position.
We think you need these skills to ace SQL Data Analyst - Hybrid/London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Git, and any relevant data analysis projects. Use specific examples that demonstrate your problem-solving skills and ability to work independently.
Craft a Strong Cover Letter: Write a cover letter that addresses the key responsibilities and required skills mentioned in the job description. Explain how your background aligns with the role and express your enthusiasm for working in the telecommunications industry.
Showcase Relevant Projects: If you have worked on projects involving data processing, visualisation, or using CI/CD pipelines, be sure to include these in your application. Highlight your contributions and the impact of your work.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Square One Resources
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL in detail. Bring examples of complex queries you've written or data processes you've developed. This will demonstrate your technical proficiency and problem-solving abilities.
✨Familiarise Yourself with Git
Since the role requires effective use of Git for change control, make sure you can explain how you've used it in past projects. Discuss any specific challenges you faced and how you overcame them using version control.
✨Understand the Business Context
Research the telecommunications industry and understand how data products are used within it. Being able to relate your technical skills to business outcomes will show that you have a strong business awareness.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical thinking and problem-solving skills. Practice articulating your thought process when tackling data-related challenges, as this will highlight your aptitude for the role.
