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For Companies At a Glance
- Tasks: Collect and analyse data, build pipelines, and create visualisations.
- Company: Join a dynamic team in a hybrid work environment in Glasgow.
- Benefits: Flexible remote work, competitive pay, and opportunities for growth.
- Why this job: Make an impact by transforming data into actionable insights.
- Qualifications: Strong Python and SQL skills, with experience in data modelling.
- Other info: Ideal for those passionate about data in the finance sector.
The predicted salary is between 36000 - 60000 £ per year.
Overview
I am recruiting for a Data Analyst to work on a hybrid basis – 2/3 days in Glasgow, remaining time remote. The role falls inside IR35 so you will need to work through an umbrella company for the duration of the contract.
Responsibilities
- Collecting and analysing requirements
- Analysing data and building data pipelines
Qualifications / Requirements
- Strong experience with Python is essential and experience of working in Unix environments
- Strong experience of SQL and relational databases
- Extensive data modelling experience and experience working with data analytics/visualisation software
- Knowledge of the ServiceNow platform (preferred)
- Experience with Agile/DevOps (preferred)
- Experience of the finance sector (bonus)
- Knowledge of data governance concepts (preferred)
- Applicants should apply ASAP if this is of interest
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Data Analyst - Python, SQL employer: Access Computer Consulting
Contact Detail:
Access Computer Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Python, SQL
✨Tip Number 1
Network like a pro! Reach out to connections in the data analytics field, especially those who work with Python and SQL. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving Python and SQL. 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 common data analyst questions and scenarios. Practice explaining your experience with data pipelines and visualisation tools, as well as your knowledge of Agile/DevOps.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to stay updated on new roles that match your skills.
We think you need these skills to ace Data Analyst - Python, SQL
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and data modelling. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Data Analyst role. Mention your experience in Unix environments and any knowledge of the finance sector to grab our attention.
Showcase Your Data Skills: In your application, include specific examples of how you've collected and analysed data in the past. We love seeing real-world applications of your skills, especially if you’ve worked with data analytics or visualisation software.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Access Computer Consulting
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, and think about how you can demonstrate your experience with data pipelines and relational databases.
✨Showcase Your Data Modelling Skills
Prepare to talk about your data modelling experience in detail. Have examples ready that highlight your ability to analyse requirements and build effective models. This will show that you understand the core responsibilities of the role.
✨Familiarise Yourself with Agile/DevOps
Since the role involves working in an Agile/DevOps environment, it’s a good idea to brush up on these methodologies. Be prepared to discuss how you've applied Agile principles in past projects and how they can benefit data analysis work.
✨Research the Company and Sector
Take some time to learn about the company and its position in the finance sector. Understanding their data governance concepts and how they apply to their operations will give you an edge and show your genuine interest in the role.