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- Tasks: Collect and analyse data, build pipelines, and work with SQL and Python.
- Company: Join a dynamic team in Glasgow with a focus on data-driven solutions.
- Benefits: Enjoy hybrid working, flexibility, and the chance to grow your skills.
- Why this job: Be part of an innovative culture that values data and offers real-world impact.
- Qualifications: Strong SQL, Python, and data modelling experience required; finance sector knowledge is a plus.
- Other info: Work through an umbrella company; role falls inside IR35.
The predicted salary is between 30000 - 48000 £ per year.
I am recruiting for a Data Analyst to work on a hybrid basis – 2/3 days in Glasgow, remaining time remote.
If you are interested in applying for this job, please make sure you meet the following requirements as listed below.
The role falls inside IR35 so you will need to work through an umbrella company for the duration of the contract.
Responsibilities will include collecting and analysing requirements, analysing data and building data pipelines.
You must have strong experience of SQL and relational databases.
You will have extensive data modelling experience and experience working with data analytics/visualisation software.
Strong experience with Python is essential and also experience of working in Unix environments.
You will ideally have knowledge of the ServiceNow platform and experience with Agile/DevOps.
Experience of the finance sector would be a bonus.
Knowledge of data governance concepts is also preferred.
Please apply ASAP if this is of interest
Data Analyst employer: Access Computer Consulting
Contact Detail:
Access Computer Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with SQL and relational databases by working on personal projects or contributing to open-source initiatives. This hands-on experience will not only boost your confidence but also give you practical examples to discuss during interviews.
✨Tip Number 2
Brush up on your Python skills, especially in data manipulation and analysis libraries like Pandas and NumPy. Consider creating a portfolio of projects that showcase your ability to analyse data and build pipelines, which can be a great talking point in interviews.
✨Tip Number 3
Gain a basic understanding of the ServiceNow platform and Agile/DevOps methodologies. You can find online courses or tutorials that cover these topics, which will help you stand out as a candidate who is eager to learn and adapt.
✨Tip Number 4
Network with professionals in the finance sector to gain insights into industry-specific data challenges. Attend meetups or webinars related to data analytics in finance, as this knowledge could give you an edge when discussing your fit for the role.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, relational databases, and Python. Include specific projects or roles where you utilised data modelling and analytics/visualisation software.
Craft a Strong Cover Letter: In your cover letter, emphasise your familiarity with Agile/DevOps and any experience in the finance sector. Mention your knowledge of the ServiceNow platform and how it relates to the role.
Showcase Relevant Skills: When detailing your skills, focus on your ability to collect and analyse requirements, build data pipelines, and work in Unix environments. Use examples to demonstrate your expertise.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at Access Computer Consulting
✨Brush Up on SQL and Python
Make sure you're well-versed in SQL and Python, as these are essential for the role. Prepare to discuss your previous projects where you used these languages, and be ready to solve a few coding challenges during the interview.
✨Showcase Your Data Modelling Skills
Be prepared to talk about your experience with data modelling. Bring examples of how you've built data pipelines and the impact your work had on previous projects. This will demonstrate your practical knowledge and problem-solving abilities.
✨Familiarise Yourself with Agile/DevOps
Since the company values Agile and DevOps methodologies, it’s a good idea to brush up on these concepts. Be ready to discuss how you've applied Agile principles in your past roles and how they can benefit the team.
✨Understand Data Governance Concepts
Having knowledge of data governance is preferred for this position. Familiarise yourself with key concepts and be prepared to discuss how you’ve implemented data governance practices in your previous roles.
