Graduate Data Analyst (VISA SPONSORSHIP) in UNITED KINGDOM

Data Analyst (Visa Sponsorship Available) | SaaS Scale-Up | £40,000 - £50,000 per annum | London, UK

About the Company:

Our client is a rapidly expanding SaaS scale-up, currently comprising 200 innovative and driven professionals. Based in London, they specialize in developing cutting-edge software solutions that cater to a diverse and growing clientele. With a focus on continuous improvement and leveraging the latest technologies, they have established themselves as a leader in the SaaS industry.

About the Role:

The Data Analyst position offers a unique opportunity for individuals with a keen interest in data management and analysis. This role involves extracting, cleaning, and interpreting large amounts of data to provide actionable insights that drive decision-making and support the development of high-quality SaaS products. The position includes significant training and development opportunities, allowing you to enhance your analytical skills and expertise in using advanced data analysis tools within a dynamic, agile environment. The ideal candidate will be detail-oriented, analytical, and driven to support data-driven decisions.

Responsibilities:

• Extracting data from primary and secondary sources, then reorganizing this data in a format that can be easily read by either human or machine.
• Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
• Preparing reports for the management stating trends, patterns, and predictions using relevant data.
• Collaborating with engineering and product development teams to implement and refine data collection techniques.
• Assisting in the design and implementation of databases and data collection systems.
• Ensuring data integrity and accuracy in all analytics activities.
• Participating in ongoing education and training to stay abreast of industry developments and advancements in data analysis tools and techniques.

Requirements:

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field is required.
• Experience with data models, database design development, data mining, and segmentation techniques.
• Proficiency with statistical analysis tools (e.g., SAS, SPSS, R) and programming languages (e.g., SQL, Python).
• Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Effective communication skills and the ability to work collaboratively in a team environment.

Benefits:

• A competitive salary range of £40,000 to £50,000 with potential for bonuses.
• Opportunity to work in a fast-growing SaaS company with a vibrant and inclusive culture.
• Extensive career development opportunities, including significant training in advanced data science techniques and tools.
• Access to the latest tools and technologies in data science.
• Regular team events, workshops, and networking opportunities.