Graduate Data Analyst
@ Grayce

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

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XXXXXXXXX XXXXXXXXXXX XXXXXXXXXX****** @grayce.co.uk
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Job Details

Overview

Join Grayce as a Graduate Data Analyst through the Graduate Development Programme in London. This role is ideal for graduates with a 2:1 or above in a STEM subject and experience in data analysis. You will work full time on site with prestigious FTSE 100, 250, and 500 organisations.

Role Opportunities

Within the programme you may work in one of the following areas:

  • Data Analyst: Transform complex data into actionable insights, create visualisations, and develop dashboards.
  • Data Engineer: Design and maintain data pipelines, integrate multiple data sources, and ensure data quality.
  • Data Scientist: Support quantitative research, deliver robust data models, and perform exploratory analysis.

Programme Benefits

You will enjoy:

  • Accelerated career development with hands-on client work.
  • Industry-accredited qualifications and multiple accreditations.
  • Mentoring from experienced Delivery Managers and Technical Trainers.
  • Competitive starting salary of £28,000 with potential for significant growth.
  • Wellness and Employee Assistance Programme support.

What We Expect

Applicants must have a strong academic background in a STEM field, practical experience with tools such as Excel, R, SQL, or Python, and familiarity with visualization tools like Tableau or Power BI. Key skills include analytical problem solving, effective communication, stakeholder management, time management, and a proactive learning mindset.

Key skills/competency

Data Analysis, Excel, R, SQL, Python, Tableau, Power BI, Analytical Thinking, Communication, Problem Solving

How to Get Hired at Grayce

🎯 Tips for Getting Hired

  • Customize Resume: Tailor your CV for data analysis roles.
  • Highlight STEM qualifications: Emphasize your academic achievements.
  • Showcase technical skills: Clearly list Excel, SQL, Python experience.
  • Prepare for interviews: Practice problem-solving and case studies.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query techniques.
Practice Python data manipulation.
Revisit R and Excel functions.
Study Tableau or Power BI basics.

Behavioral Questions

Describe a challenging project.
Explain teamwork in data projects.
Discuss a time you adapted.
Communicate how you handle pressure.

Frequently Asked Questions