Graduate Data Analyst - Leeds

Grayce; Leeds; On-site; GBP 25,000 - 29,000; Full time

Job summary

Grayce is seeking a Graduate Data Analyst to join their Development Programme in Leeds. This role focuses on data analysis and reconciliation, ideal for numerically skilled graduates eager to start their careers. The role offers competitive salary and extensive support for professional growth.

Benefits

Industry Accreditation

Competitive Salary

Mentorship & Support

Career Growth Opportunities

Qualifications

• Strong numerical background and interest in Finance processes.
• Ability to work on site 5 days a week.
• Eager to launch career in data analysis.

Responsibilities

• Analysing financial data and cleansing data to new systems.
• Identifying discrepancies in financial transactions.
• Collaborating with stakeholders for data transition.

Skills

Excel

Data Analysis

Problem Solving

Communication

Stakeholder Management

Education

Minimum 2:1 or above in any undergraduate subject

Job description

Job Position:Graduate Data Analyst – via the Graduate Development Programme

Locations:Leeds

Starting Salary:£25,000

Application Requirements:

• Minimum 2:1 or above in any undergraduate subject.
• Right to work in the UK unsponsored for the duration of the programme.

• Ability to work on site 5 days a week.

Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas for international applicants.

Are you a recent graduate with a strong numerical background and an interest in Finance processes and transformation? Are you eager to launch your career in data analysis and reconciliations? At Grayce, we’re looking for ambitious individuals with a keen eye for detail, problem-solving skills, effective communication skills and a passion for working with data.

This is an exciting opportunity for curious and proactive graduates who are immediately available to join our team as a Graduate Data Analyst in Leeds. You’ll play a key role in data reconciliation, migration, and cleansing, helping to resolve transaction discrepancies and ensure accurate financial records.

If you have a keen attention to detail and accuracy, a knack for spotting trends and patterns and the ability to tell a compelling story using data, you’ll thrive in our environment. We value resourcefulness, resilience and a passion for driving change. Join us and be part of a community that cares, collaborates, and thrives together.

What You’ll Be Doing:

• Analysing mathematical and financial data.

• Cleansing and migrating data to a new system.

• Identifying and resolving discrepancies in financial transactions.

• Using Excel and data analysis tools to provide insights and solutions.

• Collaborating with stakeholders to ensure a smooth transition of data.

• Working on-site in Leeds (with flexible office-based requirements.

What We’re Looking For:

• Strong Excel and data analysis skills.

• A problem-solving mindset with great attention to detail.

• Strong communication and stakeholder management skills.

• A willingness to learn and adapt in a fast-paced, analytical environment.

• The ability to start immediately.

Why Grayce?

We specialise in driving change and transformation for some of the world’s leading organisations. Our Graduate Development Programme provides hands-on experience, industry-recognised qualifications, and a fast-track route to building a successful career in data and financial analytics.

• Competitive Salary: £25,000 starting salary with progression opportunities.

• Industry Accreditation: Fully funded qualifications to enhance your expertise.

• Career Growth: Opportunity to work with FTSE 100, 250, and 500 companies.

• Mentorship & Support: Access to experienced coaches and technical trainers.

• Flexibility: Possibility of relocation to Manchester for future opportunities.

Start Your Career with Grayce

If you’re ready to apply your numerical skills in a dynamic, problem-solving role and want to kickstart your career immediately, we’d love to hear from you.

Apply now and take the first step toward a rewarding future in data analysis and reconciliation.