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Audit Data Analytics Manager
Job summary
A progressive accountancy firm in London is seeking an innovative Audit Data Analytics Manager to join their Technical Team. The ideal candidate will have strong programming skills and a thorough understanding of data analytics to enhance audit quality. Responsibilities include developing data analytics solutions, collaborating with stakeholders, and ensuring compliance with standards. This role offers a competitive salary ranging from £65,000 to £80,000 and a chance to advance in a data-driven tech-audit environment.
Qualifications
- Proficiency in Microsoft technologies aimed at enhancing audit effectiveness.
- Ability to automate audit procedures and streamline workflows.
- Experience in data manipulation and interpretation of large datasets.
Responsibilities
- Develop and implement data analytics capabilities for audits.
- Leverage Microsoft technologies to create analytic tools.
- Collaborate with stakeholders to improve audit quality.
Skills
Education
Tools
London (Hybrid)
Salary: £65,000 - £80,000 (dependant on experience)
Butler Rose Public Practice is delighted to be supporting our client, a progressive accountancy firm, in their search for an innovative and driven Audit Data Analytics to join their Audit Technical Team. This role is ideal for someone who combines strong technical programming skills with a deep understanding of how data analytics can enhance audit quality, efficiency, and insight. You'll play a pivotal role in developing and implementing data-led solutions that transform how audits are delivered.
- Develop the firm's data analytics capability - design, build, and deploy analytics solutions that enhance audit effectiveness, highlight risk areas, and improve decision-making.
- Leverage Microsoft technologies - use PowerApps, Power BI, and VBA to create dashboards, tools, and applications that help audit teams analyse large datasets efficiently.
- Programming and automation - develop scripts and programs to automate audit procedures, streamline data extraction, and optimise data analysis workflows.
- Collaborate with key stakeholders - partner with auditors and business teams to understand requirements, deliver insights, and create tools that improve audit quality and consistency.
- Ensure data quality and compliance - maintain accuracy, integrity, and security of data used for analytics in line with professional and regulatory standards.
- Provide training and technical support - upskill audit teams on the effective use of data analytics tools, methods, and best practices.
- Champion continuous improvement - keep pace with emerging technologies, identifying opportunities to innovate and advance the firm's audit analytics capabilities.
- Degree in Computer Science or a related field.
- Proficiency in Microsoft PowerApps, Power BI, and VBA.
- Proven experience in computer programming (e.g. SQL, Python) and data manipulation
- Understanding of data visualisation and storytelling within an audit or financial context.
- Familiarity with external audit methodologies and professional standards
- Strong analytical and problem-solving skills with the ability to handle and interpret large datasets
- Excellent communication skills, capable of translating technical concepts for non-technical audiences.
This is an outstanding opportunity where for the right individual, you will be offered the opportunity to progress your career in the innovative and data-driven tech‑audit space.
This role is advertised by Demetria Petropoulos, Butler Rose (AGY) d.petropoulos@butlerrose.com
#IND-HL-25
Butler Rose is committed to equality in the workplace and is an equal opportunity employer.
Butler Rose Ltd is acting as an Employment Business in relation to this vacancy.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.