Junior Data Analyst

e-Careers Limited; Birmingham; On-site; GBP 25,000 - 35,000; Full time

Job summary

An established industry player is seeking a Trainee Data Analyst to join their dynamic team. This is a fantastic opportunity for individuals eager to embark on a career in data analysis, where you will receive comprehensive training and hands-on experience. You will learn to collect and process data, perform analyses, and create insightful visualisations. The supportive environment promotes growth, allowing you to collaborate with experienced professionals while developing your skills. If you're analytical, curious, and passionate about data, this role could be the perfect stepping stone into the exciting world of data analysis.

Benefits

Comprehensive Training

Career Development

Hybrid Working

Supportive Team

Competitive Salary

Health & Wellbeing

Paid Time Off

Professional Growth

Qualifications

• Passion for data and eagerness to learn new tools.
• Strong attention to detail and methodical approach.

Responsibilities

• Assist in data collection, cleaning, and organisation.
• Learn to perform basic data analysis and generate insights.

Skills

Data Analysis

Attention to Detail

Communication Skills

Problem-Solving

Team Collaboration

Education

No prior experience required

Tools

Excel

SQL

Power BI

Python

Job description

Are you looking to start a career in data analysis but don’t have prior experience? Join our team as a Trainee Data Analyst, and we will provide all the training you need to succeed in this exciting field.

This role is perfect for someone analytical, curious, and eager to learn, with a passion for working with data.

As a Trainee Data Analyst, you will work alongside experienced professionals and gain hands-on experience in data processing, analysis, and visualisation.

We’re committed to your development and will support you every step of the way as you grow into a skilled data analyst.

Responsibilities:

1. Data Collection & Processing: Assist in gathering, cleaning, and organising large datasets from multiple sources.
2. Data Analysis: Learn how to perform basic data analysis, generate insights, and identify trends using various tools and techniques.
3. Reporting & Visualisation: Help create reports and data visualisations to communicate findings to stakeholders, learning how to present data in an easy-to-understand format.
4. Collaboration: Work closely with senior analysts and other departments to understand business needs and contribute to ongoing projects.
5. Learning & Development: Participate in training sessions and apply new skills to real-world projects, with the opportunity to specialise in areas such as data science, business intelligence, or machine learning.
6. Documentation & Process Improvement: Assist with documenting analysis processes and identifying areas where data workflows can be optimised.

We are looking for someone who has:

1. A passion for data and problem-solving.
2. Strong attention to detail and a methodical approach.
3. An eagerness to learn new tools and techniques.
4. Strong communication skills and the ability to work effectively in a team.

This role is ideal for someone with no prior data experience but a keen interest in starting a career in data analysis.

Benefits:

1. Comprehensive Training: Receive full training in data analysis, including tools like Excel, SQL, Power BI, Python, and more.
2. Career Development: Access to mentorship, career guidance, and opportunities for advancement as you grow in your role.
3. Hybrid Working: Enjoy a flexible work arrangement with a combination of remote work and office-based collaboration.
4. Supportive Team: Join a friendly, inclusive team that encourages growth and learning.
5. Competitive Salary: Receive a competitive starting salary with performance-based increases.
6. Health & Wellbeing: Access to health benefits and wellbeing initiatives.
7. Paid Time Off: Generous annual leave and public holiday allowances to support a healthy work-life balance.
8. Professional Growth: Opportunities to take on more responsibilities and specialise in areas of data analysis that interest you.