Machine Learning Engineer jobs in United Kingdom

Data Analyst – Hybrid, Birmingham

Location: Birmingham, Midlands (Hybrid Working)

Type: Permanent

Are you passionate about using data to solve real business challenges?

We’re partnering with a leading listed company looking for an ambitious Data Analyst to join their growing Data Team.

This is a fantastic opportunity to work closely with Business Partners and Enterprise Architects, supporting the Data Manager to deliver impactful data and analytics solutions that help shape strategic decisions across the organization.

If you’re ready to grow your career in data analytics and work on high-impact projects, this role could be for you.

• Data Engineering: Assisting with the design, development, and implementation of efficient ETL processes to transform raw data into actionable insights.
• Business Intelligence: Helping to develop dashboards, reports, and analytics that support informed decision-making across the business.
• User Experience Analysis: Understanding how data is used across teams and shaping user-friendly, effective solutions.
• Continuous Improvement: Streamlining processes to make data operations more efficient, automated, and reliable, with a focus on quality and accuracy.
• Risk & Governance: Supporting risk management and ensuring all data activities comply with IT governance standards.

• Experience in a data-focused or IT role.
• Knowledge of data tools and technologies with hands-on experience in data operations.
• Strong skills in Python and SQL for automation and analytics.
• Understanding of data management frameworks, analytics, and optimization.
• Problem-solving mindset and strong analytical skills.
• Collaborative approach with excellent communication skills.

• Be part of a forward-thinking, innovative organization.
• Work on projects that make a real impact on the business.
• Flexible hybrid working model.
• Opportunities for career development and progression.

If this sounds like the perfect next step in your career, apply now with your CV and take the first step towards joining an exciting, data-driven team.