Established in 2004, OLIVER is the world’s first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences.

As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results.

Role: Finance ERP Business Analyst

Location: London, United Kingdom

About the role:

As Finance ERP Business Analyst, you'll work at the centre of a complex, fast-moving transformation programme. This is an independent delivery role: you'll manage your own workload across multiple workstreams, translating business requirements into clear, actionable outputs and keeping pace with a demanding project schedule.

You'll collaborate closely with technical leads, project managers, and stakeholders across the business — bridging finance knowledge and analytical rigour to support decisions at every stage of the programme lifecycle.

What you will be doing:

Partner with the PMO and business units to conduct gap analysis between as-is and to-be processes, producing process maps and identifying change management needs
Facilitate project workshops, ensuring clear outcomes and agreed next steps
Contribute to and maintain the change and communication plan documentation throughout the project lifecycle
Provide data migration support to the technical lead, ensuring accuracy and completeness
Support business readiness activities in preparation for go-live, including cutover planning and hypercare delivery
Lead the development of training materials and e-learning content for end users
Create Global Process Design Documents and associated Risks and Controls Matrices
Produce ad-hoc reports, meeting packs, and presentation decks for the Management Team as required
Identify and implement project improvements as opportunities arise
Build effective working relationships across the Programme Team and with stakeholders at all levels

What you need to be great in this role:

Solid experience as a Business Analyst, with a track record of contributing to ERP transformation programmes
Hands-on NetSuite experience — this is essential
Strong understanding of finance processes and accounting principles, with the ability to identify and apply best practice
Experience in process mapping, gap analysis, and process improvement work
Familiarity with a range of business analysis methodologies and techniques
Confident facilitator, able to lead workshops and manage stakeholder engagement at all levels
Clear, structured written and verbal communication skills
Proficiency in MS Office, including Excel, PowerPoint, and Word
Experience producing process maps, data analysis outputs, and project documentation to a high standard
Proficiency with Gen AI tools — such as AI-assisted document drafting, data summarisation, or presentation tools — to improve output quality and efficiency
Experience building personal workflows that increase speed and accuracy of delivery
Agentic approach to problem-solving: able to break down complex, multi-step challenges and identify a clear path forward
Ability to critically evaluate AI-generated outputs and apply sound judgement before use

Req ID: 18714

#LI-CK1 #Midsenior #LI-Onsite

Our values shape everything we do:

Be Ambitious to succeed

Be Imaginative to push the boundaries of what’s possible

Be Inspirational to do groundbreaking work

Be always learning and listening to understand

Be Results-focused to exceed expectations

Be actively pro-inclusive and anti-racist across our community, clients and creations

Our recruitment process does not employ artificial intelligence for selection. We use AI to support efficiency and consistency, not to replace human judgement. Candidate evaluation and selection are conducted without AI-supported screening or decision-making. We are committed to a fair, thoughtful, and equitable experience for every candidate.