Financial Controls Data Analytics Manager

Job Description: Financial Controls Data Analytics Manager

Why This Job Matters

You will be a key member of the BT Group Finance Controls and Assurance team which is focused on supporting the business to meet its financial control and compliance obligations, including the design and implementation of data analytics assurance techniques in the first and second line of defence.
This role will support driving the design, delivery and reporting of the data analytics assurance over the BT Group’s financial risks areas.

Your Accountabilities:

• Advance knowledge and working experience of applying Data Analytics techniques to Financial Data to support Internal audit and Controls assurance.
• Maintaining and improving the risk framework and providing management oversight through efficient assurance of internal controls by using underlying financial data
• Knowledge of applying Process mining to highlight the exceptions and outliers from the standard process and test and assure such cases
• Lead Designing and supporting the business in advanced data analytic procedures for controls and assurance purposes
• Supporting various finance transformation programme teams in developing relevant efficient financial controls using Data & Analytics
• Providing independent reporting of key risks and collating inputs to provide integrated assurance reporting over financial risks
• Pre experience and knowledge of performing Audit procedure in SAP by analysing the data from SAP tables and testing the exceptions.
• Delivering the above with pace, drive and rigour, whilst developing team capability and insight
• Directly influence senior management thinking (typically CFO level) and be an agent of change
• Educate, support and challenge leaders/stakeholders across the BT finance community to deliver specialist advice and practical financial solutions on the control framework and will be considered a strategic business partner.

Required Skills

• Leadership lead multiple virtual  teams to drive successful deliver of business outcome.
• Business & Financial acumen: Knowledgeable in the drivers of organisational performance improvement, including people drivers of performance and financial literacy with the ability to be able to influence busines performance
• Matrix working: Comfortable working in a large organisation where activities are managed according to a matrix structure. Able to work collaboratively and manage the time of their team to meet deliverables.
• Communication: translating technical and business challenges to senior leaders and key stakeholders through both oral and written communication.  Ability to tailor message to the relevant audience, distilling key messages without losing the appropriate level of detail
• Technical Mindset: ability to understand, dedupe and explain complex controls, both business and IT controls
• Analytical Mindset: ability to cut through swathes of information and pull out key messages/themes, identify issues / root causes, diagnose and/or solve problems
• Ability to Challenge: bias towards bold and confident thinking, challenging the status quo where appropriate
• Pragmatism: able to deal with ambiguity, identify resources to implement and determine pragmatic solutions
• Prioritisation: able to prioritise work and work independently on core deliverables
• Coaching/Mentoring: Support more junior members of the team
• Qualified accountant (ACCA/CIMA/ACA) with deep understanding of process area and reporting.

Connected Leaders Behaviours

• Collaborative Partner
• Solution focussed achiever
• Change agent

Experience:

• Qualified accountant
• Recent data analytics assurance knowledge and use
• Ability to work independently
• Recent external or internal audit experience using Data Analytics
• Track record of executive level business partnering.
• Advanced knowledge of data analytics/visualisation tools e.g. Alterx,Power BI, Qlik Sense, Python, Tableau, SAP BIS and Process mining
• Advance knowledge of data analytics concepts (ETL – Extract Transform and Load) which can be demonstrated through past experiences.
• Basic knowledge of data warehouses (cloud, on premises etc) and information management systems.