Graduate Data Analyst
- newcastle upon tyne, tyne and wear, NE1, United Kingdom
- Permanent·Remote
- Full time
- £27,000 - £27,000 Per Annum
Job Description
About the Role
Our client is seeking bright and motivated Graduate Data Analysts to join their dynamic team. This is an outstanding opportunity to build a career in data science and analytics, working with complex datasets to derive meaningful insights. You will support various departments by providing data-driven recommendations that inform strategic decisions. Operating within a remote-first framework, you'll collaborate with colleagues across different locations, leveraging technology to maintain strong team cohesion and productivity. We are passionate about fostering talent and offer a structured development path designed to hone your analytical skills and deepen your understanding of data-driven business operations.
Key Responsibilities
- Collect, clean, and process large datasets from various sources for analysis.
- Perform statistical analysis and build predictive models to identify trends and patterns.
- Develop reports, dashboards, and visualizations to communicate findings to stakeholders.
- Collaborate with business units to understand their data needs and provide actionable insights.
- Assist in the development and implementation of data strategies and best practices.
Requirements
- A degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Proficiency in data analysis tools and programming languages 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 thinking, problem-solving abilities, and attention to detail.
- Excellent remote communication and collaboration skills, with the ability to present complex information clearly.
Benefits
- Competitive starting salary with performance-based increments.
- Fully remote working environment, offering excellent flexibility.
- Extensive training in advanced data analytics techniques and tools.
- Access to cutting-edge analytical software and platforms.
- A collaborative and inclusive remote team culture that encourages innovation.


