Graduate Data Analyst
- newcastle upon tyne, tyne and wear, NE1 0HH, United Kingdom
- Permanent·Remote
- Full time
- £24,000 - £24,000 Per Annum
Job Description
About the Role
Our client is seeking enthusiastic Graduate Data Analysts to join their expanding, fully remote team. This role offers a unique chance to work with large datasets, uncover actionable insights, and contribute to data-driven decision-making across the organisation. You will be mentored by experienced data professionals, gaining practical experience in data manipulation, visualization, and reporting. This position is ideal for recent graduates who possess a keen analytical mindset and a passion for transforming data into strategic advantages, all within a flexible, remote-first culture. Our client's operations are centered around Newcastle upon Tyne , but this role is entirely virtual.
Key Responsibilities
- Collect, clean, and process data from various sources to ensure accuracy and completeness.
- Perform statistical analysis to identify trends, patterns, and anomalies within datasets.
- Develop and maintain dashboards and reports using data visualization tools.
- Collaborate with cross-functional teams to understand their data needs and provide analytical support.
- Interpret complex data findings and present them clearly to both technical and non-technical stakeholders.
- Contribute to the development and implementation of data models and strategies.
Requirements
- A degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
- Proficiency in data analysis tools and languages, such as SQL , Python (with libraries like Pandas, NumPy), or R.
- Experience with data visualization tools like Tableau, Power BI, or similar.
- Strong analytical and problem-solving skills with meticulous attention to detail.
- Ability to communicate technical findings effectively in a remote setting.
- Eagerness to learn and adapt to new analytical techniques and technologies.
Benefits
- Competitive starting salary with clear pathways for career progression.
- Fully remote working environment with flexible hours.
- Dedicated training and professional development budget.
- Access to cutting-edge data analysis tools and technologies.
- A supportive and inclusive virtual team culture that encourages collaboration and knowledge sharing.


