Audit & Assurance | Senior – Analytics Assurance
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- Technical and functional contribution towards delivering bespoke analytics/analytics-based solutions to solve real-life client problem in the finance and accounting domains.
- Analyze large data volumes to perform meaningful comparisons, trends and provide insights for better interpretation, decision making and recommendations.
- Build computational data models, including predictive models to validate complex client scenario in the finance and accounting domains.
- Storyboard and present information effectively using data visualization tools.
- Build automation solutions for finance and accounting tasks, activities and processes to improve accuracy and efficiency.
- Collaborate with other specialists in developing data driven solutions.
- Builds own understanding of our purpose and values; explores opportunities for impact.
- Demonstrates strong commitment to personal learning and development; acts as a brand ambassador to help attract top talent. Understands expectations and demonstrates personal accountability for keeping performance on track.
- Actively focuses on developing effective communication and relationship-building skills.
- Understands how their daily work contributes to the priorities of the team and the business.
- Bachelor's degree in Information Systems, Computer Science, Accounting, or a related field.
- Analytical mindset, detail oriented, business acumen with a problem-solving mindset
- Excellent communication skills (both verbal and written in English), with proven ability to convey complex messages clearly and with conviction. Arabic speakers have an added advantage.
- Appetite for growth through continuous self-learning.
- Foundational understanding of Finance/Accounting is critical to the role.
- 4 - 5 years of relevant experience in Analytics assurance (experience in a professional services or consulting environment is a plus).
- Practical experience in the application of analytics or data science to real-life client problems in an advisory/consulting capacity. Experience within the finance/accounting domains would be considered a bonus.
- Experience in working with large and complex data sets, with coding skills for analytics and data manipulation (SQL/Python) and related data modelling.
- Experience in using business intelligence tools (e.g. Power BI. Tableau)
- Experience in task/process automation using Microsoft Power Tools.
- Practical knowledge in Excel VBA and advanced excel is an added advantage.
- Practical understanding of transactional and standard business process data (General Ledger, Sales, Procurement, etc.) is a bonus.