H

Data Analyst Intern

hawkroot • United Kingdom
Remote
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AI Summary

Join Hawkroot's remote team as a Data Analyst Intern to apply analytical skills to real-world data projects and build practical experience. Collect, clean, and structure datasets, perform exploratory data analysis, and build dashboards. Final-year students and recent graduates in Data Science, Computer Science, or related fields are encouraged to apply.

Key Highlights
Collect, clean, and structure datasets
Perform exploratory data analysis
Build dashboards using Power BI or Tableau
Key Responsibilities
Collect, clean, and structure datasets
Perform exploratory data analysis
Build and maintain dashboards and visual reports
Conduct basic statistical analysis and present findings
Contribute to data quality checks and documentation of analytical processes
Technical Skills Required
SQL Microsoft Excel Python
Benefits & Perks
£16.00 per hour
Fully remote work
Hands-on involvement in live data projects
Nice to Have
Power BI
Tableau

Job Description


About Hawkroot

Hawkroot connects businesses with pre-vetted data and technology professionals for project-based engagements. We help organisations across multiple sectors deliver measurable outcomes in analytics, reporting, automation, and digital transformation. We work with clients and professionals across the UK and beyond, supporting data and analytics project delivery on a fully remote basis.

Role Overview

Hawkroot is seeking a motivated Data Analyst Intern to join our remote team on a part-time basis. This internship is open to final-year students and recent graduates based in the UK who are looking to apply their analytical skills to real-world data projects and build practical experience in a professional environment.


Duration: 3 months Working hours: 20 hours per week, Monday to Friday Hourly rate: £16.00 per hour Work arrangement: Fully remote Location: United Kingdom


What You Will Do

  • Collect, clean, and structure datasets to support ongoing analytical and reporting projects
  • Perform exploratory data analysis to identify trends, patterns, and actionable insights
  • Write and execute SQL queries to extract and manipulate data from relevant sources
  • Build and maintain dashboards and visual reports using Power BI or Tableau
  • Support the preparation of data summaries and structured outputs for internal and client-facing use
  • Conduct basic statistical analysis and present findings in a clear and accessible format
  • Contribute to data quality checks and documentation of analytical processes
  • Collaborate with team members to ensure accurate and timely delivery of project outputs


What We Are Looking For

  • Final-year student or recent graduate in Data Science, Computer Science, Statistics, Mathematics, Information Systems, or a related field
  • Working knowledge of SQL and proficiency in Microsoft Excel
  • Exposure to Python or R for data analysis through coursework, personal projects, or certifications
  • Familiarity with Power BI, Tableau, or similar data visualisation tools
  • Strong analytical thinking and attention to detail
  • Clear written and verbal communication skills in English
  • Self-motivated and able to manage tasks independently in a remote setting
  • Based in the United Kingdom or holding valid authorisation to work in the UK


What This Role Offers

  • Hands-on involvement in live data projects from day one
  • Practical exposure to end-to-end data analysis and reporting workflows
  • Experience working with SQL, Python, Power BI, and Excel in a professional environment
  • A supportive remote team with experienced data professionals
  • Hourly rate of £16.00 per hour
  • A strong addition to your professional portfolio and CV


Equal Opportunity

Hawkroot is committed to equal treatment and non-discrimination across all stages of hiring. We welcome applications from final-year students and recent graduates of all backgrounds, nationalities, and experiences. All candidates based in the United Kingdom or holding valid authorisation to work in the UK are encouraged to apply.


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