Graduate Data Analyst
@ Grayce

Slough, England, United Kingdom
£28,000
On Site
Posted 24 days ago

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XXXXXXXX XXXXXXXXX XXXXXXX***** @grayce.com
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Job Details

About the Graduate Data Analyst Role at Grayce

Join Grayce on the Graduate Development Programme as a Graduate Data Analyst in London. This role is ideal for recent graduates with a minimum 2:1 in a STEM subject and experience in data analysis. Candidates must have the right to work in the UK unsponsored and be able to work on-site five days a week.

Role Overview

You will be launching your career in one of three distinct paths:

  • Data Analyst: Transform complex data into actionable insights with dynamic visualisations and automated reports.
  • Data Engineer: Design and maintain data pipelines, ensuring quality in a cloud-based environment.
  • Data Scientist: Support quantitative research with robust data models and exploratory analysis.

What Grayce Offers

Grayce specialises in driving transformation for FTSE 100, 250, and 500 companies. The development programme includes:

  • Hands-on experience on-site with prestigious clients
  • Continuous learning with industry-accredited qualifications
  • Mentoring from experienced Delivery Managers and Technical Trainers
  • Competitive starting salary with significant progression opportunities
  • Wellness support and an extensive Employee Assistance Programme

Key Skills/Competency

  • Data Analysis
  • Excel
  • R
  • SQL
  • Python
  • Tableau
  • Power BI
  • Problem Solving
  • Communication
  • Analytical Thinking
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How to Get Hired at Grayce

🎯 Tips for Getting Hired

  • Customize Your Resume: Tailor your CV to highlight STEM and data skills.
  • Research Grayce's Culture: Review their mission, values, and recent projects.
  • Showcase Analytical Expertise: Emphasize your experience with Excel, R, SQL, Python.
  • Prepare for Interviews: Practice problem-solving and communication examples.
  • Follow Application Instructions: Ensure eligibility with UK work rights.

📝 Interview Preparation Advice

Technical Preparation

Review Excel, R, SQL, Python basics.
Practice building dynamic dashboards.
Learn cloud data pipeline concepts.
Study data quality and transformation.

Behavioral Questions

Describe a data challenge solved.
Explain teamwork in analytical tasks.
Share experiences with problem-solving.
Discuss managing tight deadlines.

Frequently Asked Questions