Junior Data Analyst

e-Careers; Birmingham; Hybrid; GBP 25,000 - 35,000; Full time

Job description

Are you looking to start a career in data analysis but don't have prior experience? Join our team as a Data Analyst, and we will provide all the support and mentoring 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 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.

Requirements:
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.