Graduate Data Analyst
- newcastle upon tyne, tyne and wear, NE1 4AG, United Kingdom
- Permanent·Remote
- Full time
- £27,000 - £27,000 Per Annum
Job Description
About the Role
Our client is seeking bright and analytical Graduate Data Analysts to join their fully remote team, contributing to their mission of data-driven decision-making. This role offers an unparalleled opportunity for recent graduates to dive deep into complex datasets, uncover valuable insights, and present findings that shape business strategy. You will work closely with various departments, translating raw data into actionable intelligence, all within a collaborative virtual setting. Based remotely, ideally within reach of Newcastle upon Tyne , you will be empowered to develop your skills, learn from experienced professionals, and make a significant impact on the company's success through your analytical prowess.
Key Responsibilities
- Collect, clean, and process large datasets from various sources to ensure data integrity and accuracy.
- Perform statistical analysis to identify trends, patterns, and correlations within the data.
- Develop reports and visualizations to communicate complex findings clearly and concisely to both technical and non-technical stakeholders.
- Collaborate with team members on data-related projects, contributing to data strategy and best practices in a remote setting.
- Assist in the development and maintenance of data dashboards and reporting tools.
Requirements
- A degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Proficiency in data manipulation and analysis tools such as SQL, Python (with libraries like Pandas, NumPy), or R.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Strong analytical and problem-solving skills, with meticulous attention to detail.
- Excellent written and verbal communication skills, crucial for remote collaboration and reporting.
Benefits
- Competitive starting salary and performance-based incentives.
- A fully remote working arrangement, offering flexibility and work-life balance.
- Extensive training and mentorship opportunities with senior data professionals.
- Exposure to diverse datasets and advanced analytical techniques.
- Supportive team culture focused on continuous learning and professional growth.


