Junior Data Analyst (Visa Sponsoring)

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

Job summary

A rapidly growing SaaS company in London is seeking a Junior Data Analyst. This role involves data extraction, cleaning, and analysis to support business decisions and product development. Candidates should have a relevant degree and proficiency in statistical tools and programming languages. The position offers comprehensive training and opportunities for career growth in a dynamic environment.

Benefits

Opportunities for career development

Access to the latest data science tools

Regular team events and workshops

Qualifications

• Bachelor’s degree in a relevant field required.
• Experience with data models and database design preferred.
• Proficiency in statistical analysis tools and programming languages.

Responsibilities

• Extract and analyze large datasets to deliver actionable insights.
• Prepare reports highlighting trends and predictions.
• Collaborate with teams to refine data collection techniques.

Skills

Data analysis

Statistical analysis

Problem-solving

Attention to detail

Effective communication

Education

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field

Tools

SAS

SPSS

R

SQL

Python

Job description

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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 passionate about transforming industries through software innovation. They specialise in delivering advanced software solutions tailored to 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 offers an exciting opportunity for individuals interested in data management and analysis. 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:

• Extract data from primary and secondary sources, then reorganize it for easy reading by humans or machines.
• Use statistical tools to interpret data sets, focusing on trends and patterns valuable for diagnostic and predictive analytics.
• Prepare reports for management highlighting trends, patterns, and predictions using relevant data.
• Collaborate with engineering and product development teams to implement and refine data collection techniques.
• Assist in designing and implementing databases and data collection systems.
• Ensure data integrity and accuracy in all analytics activities.
• Participate in ongoing education and training to stay updated on industry developments and data analysis tools and techniques.

Requirements:

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Experience with data models, database design, 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 attention to detail and accuracy.
• Effective communication skills and teamwork ability.
• Salary range of £40,000 to £50,000 with potential bonuses.
• Opportunities for career development, including training in advanced data science techniques and tools.
• Access to the latest data science tools and technologies.
• Regular team events, workshops, and networking opportunities.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Information Technology and Analyst

Industries

• Software Development

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Location: London, England, UK — 2 days ago.