Graduate Data Analyst Uk Visa Sponsorship Available

Job Description

JOB SUMMARY

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

About the company:

Our client is a rapidly growing SaaS company with 200 innovative and driven workers. Based in London, they specialise in creating cutting-edge software solutions for a varied and growing customer. They have positioned themselves as SaaS market leaders by focusing on continuous improvement and exploiting cutting-edge technologies.

About the role:

The Data Analyst position is ideal for people who are passionate about data administration and analysis. This work entails extracting, cleaning, and interpreting huge amounts of data to give actionable insights that drive decision-making and aid in the creation of high-quality SaaS solutions. The position offers extensive training and growth possibilities, allowing you to hone your analytical abilities and competence in using advanced data analysis tools in a dynamic, flexible setting. The ideal applicant will be detail-oriented, analytical, and motivated to help make data-driven decisions.

Responsibilities:

• Data is extracted from primary and secondary sources and then reorganised in a format that can be easily read by both humans and machines.
• Using statistical methods to understand data sets, with a focus on trends and patterns that may be useful for diagnostic and predictive analytics.
• Creating reports for management that highlight trends, patterns, and projections based on pertinent data.
• Working with the engineering and product development teams to implement and improve data collection strategies.
• Assisting with the development and deployment of database and data collection systems.
• Ensure data integrity and correctness across all analytics activities.
• Participating in continuing education and training to stay current on industry innovations and advances in data analysis tools and processes.

Requirements:

• A bachelor’s degree in data science, statistics, mathematics, computer science, or another relevant discipline is required.
• Experience with data models, database design, data mining, and segmentation approaches.
• Proficient in statistical analysis tools (e.g., SAS, SPSS, R) and programming languages (e.g., SQL, Python).
• Strong analytical and problem-solving skills, as well as the capacity to collect, organise, analyse, and disseminate large volumes of information with precision and attention to detail.
• Effective communication skills and the capacity to work constructively in a team setting.

Benefits:

• A competitive pay range of £40,000 to £50,000, with opportunity for extras.
• Opportunity to work at a rapidly expanding SaaS firm with a dynamic and inclusive culture.
• There are several options for professional advancement, including extensive training in sophisticated data science methodologies and tools.
• Data science professionals have access to cutting-edge tools and technologies.
• Regular team gatherings, workshops, and networking opportunities.