Graduate Trainee - Data Analyst

Placements24

Southampton

Hybrid

GBP 23,000 - 32,000

Full time

4 days ago
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Benefits offered by this job

Fully remote work
Extensive training
Mentorship from data scientists
Work with large datasets

Job summary

Placements24 invites recent graduates to join a data-driven team as Data Analysts in a fully remote role serving clients across borders. You will learn data extraction, transformation, analysis, and visualization while supporting business stakeholders with actionable insights.

Ideal candidates have quantitative degrees, strong analytics, and familiarity with SQL, Python or R, plus Tableau or Power BI to build compelling dashboards.

Qualifications

  • A recent graduate with a degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
  • Strong understanding of statistical concepts and data analysis techniques.
  • Proficiency in data manipulation tools such as SQL and experience with programming languages like Python or R is a strong advantage.

Responsibilities

  • Extract, clean, and transform data from various sources for analysis.
  • Perform exploratory data analysis to identify trends, patterns, and insights.
  • Develop and implement data models and reports to visualize key metrics.
  • Collaborate with business teams to understand their data requirements and deliver relevant insights.
  • Assist in the development and maintenance of dashboards and business intelligence tools.
  • Communicate findings and recommendations clearly to both technical and non-technical audiences.

Skills

Data analysis
SQL
Python/R
Tableau/Power BI
Remote collaboration
Communication

Education

Bachelor's degree in Statistics/Mathematics/Economics/CS

Tools

Python
R
SQL
Tableau
Power BI

Job description

About the Role

Our client is seeking sharp and analytical Graduate Trainees to join their data-driven team as Data Analysts, fully remote, serving clients across Randburg and beyond. This is a fantastic opportunity for recent graduates with a passion for data to develop their skills in data extraction, transformation, analysis, and visualization. You will work closely with business stakeholders to understand data needs and provide actionable insights that drive strategic decisions. This role is designed for individuals who are eager to learn, possess strong quantitative skills, and thrive in a collaborative, remote-first environment. You'll be instrumental in unlocking the value hidden within our client's data, contributing directly to informed decision-making and business growth.

Key Responsibilities
  • Extract, clean, and transform data from various sources for analysis.
  • Perform exploratory data analysis to identify trends, patterns, and insights.
  • Develop and implement data models and reports to visualize key metrics.
  • Collaborate with business teams to understand their data requirements and deliver relevant insights.
  • Assist in the development and maintenance of dashboards and business intelligence tools.
  • Communicate findings and recommendations clearly to both technical and non-technical audiences.
Requirements
  • A recent graduate with a degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
  • Strong understanding of statistical concepts and data analysis techniques.
  • Proficiency in data manipulation tools such as SQL and experience with programming languages like Python or R is a strong advantage.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) is beneficial.
  • Excellent analytical and problem-solving skills.
  • Ability to work effectively in a remote team setting and manage time independently.
Benefits
  • Competitive graduate salary with performance-based incentives.
  • Fully remote work arrangement for flexibility and work-life balance.
  • Extensive training in data analysis tools and methodologies.
  • Mentorship from experienced data scientists and analysts.
  • Opportunity to work with large datasets and contribute to significant business insights.
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