Graduate Data Analyst
@ Grayce

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

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XXXXXXXX XXXXXXXXXXXXX XXXXXXXXX***** @grayce.co.uk
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Job Details

Overview

Grayce is seeking a Graduate Data Analyst to kick-start your career in data analysis through our Graduate Development Programme in London. With roles including Data Analyst, Data Engineer, and Data Scientist, you will gain hands-on experience, industry accredited qualifications, and work full time on site with prestigious FTSE companies.

Key Responsibilities

  • Transform complex data into actionable insights and dynamic visualisations.
  • Design, maintain, and integrate data pipelines in cloud-based environments.
  • Develop automated reports, dashboards, and high quality data models.
  • Collaborate with stakeholders, mentors, and technical trainers.
  • Develop critical soft skills such as communication, planning, and problem-solving.

What Grayce Offers

Based in London, Grayce offers a competitive starting salary of £28,000 with significant growth potential. Enjoy access to industry recognised qualifications, dedicated mentors, and a robust Employee Assistance Programme for wellness support.

Requirements

  • A minimum 2:1 degree in a STEM subject.
  • Experience in analysing data with tools such as Excel, R, SQL, or Python.
  • Proven analytical problem-solving and strong communication skills.
  • Right to work in the UK without sponsorship.
  • Ability to work on site 5 days a week.

Key skills/competency

Data Analysis, Python, SQL, R, Excel, Tableau, Power BI, Data Engineering, Communication, Problem-solving

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How to Get Hired at Grayce

🎯 Tips for Getting Hired

  • Customize your resume: Tailor it to specific data skills and projects.
  • Highlight technical tools: Emphasize Excel, SQL, Python experience.
  • Research Grayce: Study their programme and client work.
  • Prepare for onsite interviews: Demonstrate problem-solving and analytical skills.

📝 Interview Preparation Advice

Technical Preparation

Practice SQL query scenarios.
Review Excel data manipulation techniques.
Learn basics of Python and R.
Familiarize with Tableau dashboards.

Behavioral Questions

Describe a challenging data project.
Explain your problem-solving process.
Detail teamwork experiences clearly.
Discuss handling tight deadlines.

Frequently Asked Questions