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Graduate Data Analyst
Grayce
London, England, United KingdomOn Site
Original Job Summary
About the Graduate Data Analyst Role
Join Grayce's Graduate Development Programme in London as a Graduate Data Analyst. This role is designed for ambitious graduates with a minimum 2:1 in a STEM subject, keen on analysing data, and eager to drive change through innovative insights.
Role Opportunities
Within this role, you may work as a Data Analyst, Data Engineer, or Data Scientist:
- Data Analyst: Transform complex data into actionable insights, create dynamic visualisations, and develop automated reports.
- Data Engineer: Design data pipelines, integrate multiple data sources, and ensure data quality in a cloud environment.
- Data Scientist: Support quantitative research, build robust data models, and perform exploratory analysis.
What Grayce Offers
Grayce specialises in driving change for major organisations and has partnered with FTSE 100, 250, and 500 companies. As part of the programme, you benefit from:
- An accelerated career development with hands-on client experience.
- Access to industry-recognised qualifications and mentorship from experienced professionals.
- A competitive starting salary of £28,000 with clear progression opportunities.
- Comprehensive wellness support through an Employee Assistance Programme.
Candidate Requirements
To excel as a Grayce Graduate Data Analyst, you should have:
- A minimum 2:1 degree in a STEM subject with a focus on data analysis.
- Experience with tools such as Excel, R, SQL, Python, plus visualisation tools like Tableau or Power BI.
- Strong analytical skills, attention to detail, and effective communication abilities.
- The ability to work on-site in London 5 days a week and the right to work in the UK without sponsorship.
Key Skills/Competency
- Data Analysis
- Data Engineering
- Data Science
- SQL
- Python
- Excel
- Tableau
- Problem Solving
- Communication
- Attention to Detail
How to Get Hired at Grayce
🎯 Tips for Getting Hired
- Research Grayce's culture: Explore company mission and client partnerships.
- Customize your resume: Highlight STEM and data analysis skills.
- Showcase tool proficiency: Emphasize Excel, Python, SQL, and Tableau.
- Prepare for interviews: Practice problem-solving and analytical examples.
📝 Interview Preparation Advice
Technical Preparation
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Review SQL and Python basics.
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Practice Excel and Tableau exercises.
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Study data pipeline architecture.
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Work on sample data projects.
Behavioral Questions
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Describe a challenging team project.
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Explain a time of proactive problem solving.
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Discuss managing detailed data tasks.
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Share examples of effective communication.