Graduate Trainee - Data Analyst
- southampton, england, United Kingdom
- Permanent·Remote
- Full time
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.