Audit - Data Auditor Graduate Trainee

Audit - Data Auditor Graduate Trainee - Manchester - 1 September 2026

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Forvis Mazars is a leading global professional services network providing audit & assurance, tax, and advisory services. Forvis Mazars in the UK spans 14 offices across the UK and has over 3,400 professionals, with 190 partners. We have a clear purpose and a shared commitment to shape a better future. You'll join a collaborative and inclusive team where you're supported to grow your skills, explore new opportunities, and contribute from day one.

You'll work with a diverse client base, develop meaningful connections, and gain experience that extends beyond your local team. Together, we grow, belong and impact.

At Forvis Mazars, we believe audit is essential to the economic foundations of a fair and prosperous world. Audit has been, and remains, a profession at the heart of our business. Our auditors support the public interest and, by caring about the organisations we audit and their stakeholders, we help to build sustainable businesses for the benefit of society. If you join our data analytics capability, you will be part of a wider growing audit team of around 1,400 people who are committed to quality, technical excellence, and adding value both within Forvis Mazars and our industry.

In the fast-moving world of business, comprehensive and robust auditing continues to be invaluable, and our teams provide audit and assurance services which are vital to our clients' business control and credibility. Data analytics services allow the development of repeatable and bespoke analytics solutions and standardised tools to allow delivery at scale across the audit portfolio. We utilise an agile delivery model, enabling our teams to be involved in different projects and audit analytics delivery including data migration, governance, data analytics, advanced AI‑ML analytics, platform development and robotic process automation (RPA) services.

Job purpose

The role of an auditor is to ensure financial statements produced by audited entities are ‘true and fair' and an accurate representation of the transactions and balances they claim to represent. As a graduate data analyst, you will support in developing audit analytics tools and repeatable audit analytics across Forvis Mazars UK to support the audit team to provide a high quality, robust and efficient audit.

The purpose of the position is to fundamentally unlock insights contained in data and create solutions to challenges related to the delivery of external audit. We are now operating a hybrid working model, so as a trainee you will split your time working at your base office, client sites when required, studying for your professional exams (if applicable) or working from home.

Responsibilities

• Work closely with key stakeholders in audit and the centre of excellence team to design and develop tools;
• Ensuring all stakeholders are kept fully informed of any issues arising and the progress of the work;
• Work independently and follow best practices for application development;
• Delivering work to the highest technical standards including ensuring work is conducted in line with Forvis Mazars Quality standards;
• Ensuring all work is undertaken to budget and meets the KPIs;
• Building and developing long term relationships with senior stakeholders across the firm;
• Maintaining control and stability under pressure whilst recognising the deadline or urgency to be dealt with;
• Work within a team to innovate and develop new data driven solutions to solve critical challenges and data puzzles;
• Provide support to the wider audit team for deployed data analytics solutions;
• Supporting with audit proposals and pitches;
• Work with various audited entities, building a strong understanding of their business or organisation;
• Learn how to prepare professional audit documents in line with our audit methodology using audit software and systems;
• Develop a thorough understanding of financial statements.

The person

• On track to achieve or have obtained a degree in business analytics, data science, statistics or equivalent programme…