Job description
Introduction to the Division
Our Technology Advisory Division sits right at the heart of our Audit & Tax practice and is essential to meeting our clients' evolving requirements. The division comprises of IT Assurance, Data Analytics and Advisory teams providing services to support audit and tax engagements as well as direct services to clients.
Our IT Assurance team primarily provides assurance services to clients in the Firm’s audit divisions. The majority of projects undertaken relate to assurance projects relating to controls testing, data security and privacy and due diligence.
The data analytics team provides audit and advisory analytics services, working with client data to ensure completeness, run standard tests and assist in the development of custom analytics to support audit and advisory engagements.
The team is growing quickly and also provides general IT consultancy services. There are opportunities for individuals to work on a broad range of projects including Advanced Data Analytics, IT Internal Audit, IT Governance, Data Protection, Cyber Security, Solution sales and developing bespoke solutions for client innovation projects.
Responsibilities
Purpose and aim of the role
• To assist the Analytics Lead to develop Data Models and Products to analyse Financial Data for the Financial Services and Business Services divisions of PKF Littlejohn
Duties and responsibilities
• Data formatting and data manipulation for the purposes of financial analysis.
• Undertake data integrity and completeness analysis on client financial data
• Work closely with the Analytics Lead to design data models to analyse financial data
• Prepare Logic Flow Diagrams for key components of the Data Models
• Create and enhance dashboards and reports to provide insight
• Present the Data Models and Flows to the Key Stakeholders as part of deployment activities
• Be involved in analysis, quality and interpretation of large, complex data sets deriving from multiple systems.
Person Specification
Academic qualifications
• Post-secondary schooling with a focus in quantitative modules is preferred E.g., Engineering, Physics, Business Management, or etc.
• A business degree would be beneficial
Business Acumen
• Strong understanding of and ability to interpret Financial statements.
• Experience of working on client projects.
Data Analysis
• Excellent knowledge of all aspects of Excel required.
• Experience of data manipulation using Excel/other data analytics tools.
• Able to bring insights to life with effective data visualisation.
IT Skills
• Advanced Excel skills
• Competent in all Microsoft packages
• Awareness of Data visualisation tools.
