Junior Data Analyst (Visa Sponsoring)

Capua; London; On-site; GBP 40,000 - 50,000; Full time

Job summary

Join a leading SaaS company as a Junior Data Analyst in London, gaining hands-on experience in data management and analysis. You'll extract, clean, and analyze datasets to inform business strategies and enhance top-tier products. With robust training and development opportunities, shape your career using the latest data tools in a dynamic environment.

Benefits

Career development opportunities

Access to the latest tools and technologies

Regular team events and networking opportunities

Qualifications

• Experience with data models, database design, and data mining techniques.
• Proficiency in statistical analysis tools and programming languages.
• Strong attention to detail and ability to communicate findings.

Responsibilities

• Extract and analyze large datasets to provide insights for business decisions.
• Prepare reports detailing trends and predictions from data analysis.
• Collaborate with teams to refine data collection techniques.

Skills

Analytical Skills

Problem Solving

Communication

Education

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science

Tools

SAS

SPSS

R

SQL

Python

Job description

Join to apply for the Junior Data Analyst (Visa Sponsoring) role at Capua

Join to apply for the Junior Data Analyst (Visa Sponsoring) role at Capua

This range is provided by Capua. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

About the Company:

Our client is a rapidly growing SaaS scale-up based in London, employing a team of 50 talented professionals who are passionate about transforming industries through software innovation. They specialise in delivering advanced software solutions tailored to the needs of a diverse, expanding client base. Focused on staying ahead of the curve, the company leverages the latest technologies and fosters a culture of continuous improvement, establishing itself as a frontrunner in the SaaS field.

About the Role:

The Data Analyst role presents an exciting opportunity for individuals interested in data management and analysis. In this position, you’ll be responsible for extracting, cleaning, and analysing large datasets to deliver actionable insights that inform business decisions and contribute to the development of top-tier SaaS products. With comprehensive training and development resources, this role allows you to grow your analytical abilities and become proficient with advanced data tools in a fast-paced, agile setting. The ideal candidate will be highly analytical, detail-focused, and eager to drive data-informed 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, analyse, 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.
• A competitive salary range of £40,000 to £50,000 with potential for bonuses.
• 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.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Analyst

• Industries

  Software Development

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