Data Analytics Manager
8 months ago
The role exists to manage audit related data analytics engagements. Including, but not limited to, end-to-end engagement management, training and upskilling of junior staff members, identifying and solutioning opportunities for stakeholder value creation.
The Data Analytics Manager will be responsible for the following key activities to achieve main objectives:
- Contributes and participates in the effective implementation of the Audit Data Analytics strategy and operational plan.
- Drive strategic objectives of value creation, deriving efficiencies through the use of audit analytics tools and techniques, as well as enhancing overall quality on audit engagements.
- Responsible for skills transfer and training initiatives for junior staff.
- Leads discussions with Audit Directors | Partners to discuss where analytics can play a part on an engagement.
- Leads client discussions for data retrieval and overall progress updates on audit analytics work being performed.
- Manages all audit analytics engagements from planning through to execution, reporting and delivery. This includes CAATs engagements as well as engagements that require the use of our proprietary tool BDO Advantage (Qlik and Power Bi dashboard solution).
- Daily management of engagement budgets (WIPs), staff and engagement planning and tracking.
- Reporting to leadership on engagement progress, challenges and solutions to address identified concerns/ challenges.
Technical competencies:
- Ability to understand business processes, risk and controls.
- Ability to understand audit objectives and pose data analytic procedures and/or solutions to meet the said objective.
- Ability to understand and frame client problem statements and put forward a data analytics or digital solution to meet client requirements.
- Ability to utilise industry technologies to apply data analytics solutions including data analysis tools; business intelligence solutions; robotic process automation solutions and continuous auditing solutions.
- Ability to apply SDLC methodologies to solution developments.
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