Data Analyst

Morgan McKinley

Posted a day ago, valid for a month

London, Greater London EC1R 0WX

Full Time

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Sonic Summary

The job is for a Data Analyst located in London with a hybrid working model, requiring 2-3 days per week in the office.
The role is within the AI & Data department, focusing on driving innovation through data monetisation products.
Candidates should have proficiency in SQL and/or Python, along with experience in CI/CD pipelines and version control using Git.
The position requires a strong analytical mindset and experience with data visualisation tools such as Tableau, with a salary of £45,000 to £55,000 per year.
A minimum of 2-3 years of relevant experience is required to be considered for this role.

Data Analyst

Location: London, hybrid working 2-3 days per week in officeDepartment: AI & Data

Join our client as a Data Analyst and play a key role in the cutting-edge AI & Data team to drive innovation, insight and impact through data monetisation products. If you're passionate about data, automation and building products that deliver real value, this is your opportunity to help shape the future of their data offerings.

What You'll Be Doing:

Designing and developing software, scripts and visualisation tools to power their data products
Building, optimising and automating scalable data pipelines and processes
Continuously improving product delivery using agile and CI/CD best practices
Troubleshooting technical challenges and maintaining operational excellence

What You Bring:

Essential Skills & Experience:

Proficiency in SQL and/or Python for data processing and analytics
Proven ability to write and deploy production-ready code
Experience using Git for version control and change management
Strong analytical mindset with the ability to visualise complex ideas
Ability to work independently and as part of a collaborative product team
Experience with CI/CD pipelines and working in continuous delivery environments
Exposure to transport modelling or geospatial data (GIS)
Hands-on experience with Tableau or similar visualisation tools is highly beneficial

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