Graduate Data Analyst
@ Grayce

Milton Keynes, England, United Kingdom
£28,000
On Site
Full Time
Posted 11 hours ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXX XXXXXXXXX XXXXXX****** @grayce.com
Recommended after applying

Job Details

Graduate Data Analyst

Join Grayce via the 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, excellent data analysis experience, and strong communication skills. You will work on-site full time and gain hands-on experience with FTSE 100, 250, and 500 organisations.

Role Opportunities

This role includes potential career paths as a Data Analyst, Data Engineer, or Data Scientist.

  • Data Analyst: Transform complex data into actionable insights and create dynamic visualisations.
  • Data Engineer: Design and maintain data pipelines and ensure data quality.
  • Data Scientist: Deliver high-quality models and perform exploratory analysis.

Why Grayce?

Grayce partners with leading organisations to deliver impactful solutions. Through an accelerated development programme, you will gain industry-recognised qualifications, hands-on client experience, and mentoring from experienced professionals.

Key Attributes

  • Minimum 2:1 in a STEM subject.
  • Experience with data analysis tools (Excel, R, SQL, Python).
  • Strong analytical, communication, and problem-solving skills.
  • Ability to work on-site in London 5 days a week.

Key skills/competency

  • Data Analysis
  • Excel
  • R
  • SQL
  • Python
  • Tableau
  • Power BI
  • Problem Solving
  • Communication
  • Analytical Thinking
Apply without a personalized resume

How to Get Hired at Grayce

🎯 Tips for Getting Hired

  • Customize your resume: Tailor it to emphasize STEM skills and data analysis.
  • Highlight relevant projects: Showcase experience with Excel, R, SQL, or Python.
  • Network with mentors: Connect via LinkedIn for insights.
  • Prepare for technical interviews: Review data case studies and problem solving.

📝 Interview Preparation Advice

Technical Preparation

Practice SQL query writing.
Review Python data manipulation libraries.
Work on Excel data analysis exercises.
Familiarize with Tableau or Power BI.

Behavioral Questions

Describe a time you solved a data problem.
Explain your teamwork experience in projects.
How do you adapt to change?
Tell us about a challenging project.

Frequently Asked Questions