Graduate Data Analyst

Capua; England; On-site; GBP 30,000 - 35,000; Full time

Job summary

A fast-growing SaaS scale-up in London is seeking a Graduate/Junior Data Analyst to extract, clean, and analyze data. This role involves using statistical tools to deliver insights that drive decision-making. The ideal candidate will possess a Bachelor's degree in a relevant field and proficiency in tools like SAS, SQL, and Python. Benefits include a competitive salary and extensive career development opportunities.

Benefits

Competitive salary

Career development opportunities

Regular team events

Qualifications

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

Responsibilities

• Extract data from primary and secondary sources.
• Use statistical tools to interpret data sets.
• Prepare reports for management on trends and patterns.
• Collaborate with teams to implement data collection techniques.
• Assist in database design and data integrity.

Skills

Analytical skills

Statistical analysis

Problem-solving

Effective communication

Education

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

Tools

SAS

SPSS

R

SQL

Python

Job description

Graduate/Junior Data Analyst | Fast-Growing SaaS Scale-Up | £30-35K | London (on-site)

About the Company:

Our client is a rapidly growing SaaS scale-up based in London, employing a team of 20 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.

Benefits:

• A competitive salary range of £30,000 to £35,000.
• Extensive career development opportunities, including significant training in advanced data science techniques and tools.
• Regular team events, workshops, and networking opportunities.