Digital Senior

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APAC Assurance Strategic Enablement & Technology

Data Strategy & Enablement - Business Solutions and Automation

Technical Specialist (Senior)

The Technical Specialist will be responsible for developing and maintaining different technologies created within the Business Solutions & Automation. They will also be working closely with different Construct to ensure projects are created based on requirements.

Key Responsibilities include:

• Create and maintain data insights through a range of analytical products such as Power Platforms (Power Bi, Power Apps, Power Automate), Alteryx and SQL
• Work closely with the tech leads to ensure that all requirements are addressed and reflects the needs of the business
• Provide coaching and counselling to associates, and performing detailed reviews on their work
• Working with a variety of stakeholders to ensure data integrity and insights are of the highest quality
• Create technical documentation and prepare reference materials for users
• Collaborate with the stakeholders and project coordinator to discuss development updates
• Leveraging DevOps to provide continuous updates to the tech team
• Maintain knowledge of technology innovations and trends
  
  

Skills & Attributes for Success:

• Strong attention to detail with good interpersonal and problem-solving skills
• Being a quick learner and demonstrating adaptability to change
• Exceptional organisational skills with the ability to managing multiple tasks with conflicting demands and timeframes
• The ability to function well in high pressure situations and manage the expectations of stakeholders
• Ability to understand business processes and willing to identify and communicate areas for improvement
• Should be open to working in different time zones and travelling on an as needs basis
• Integrity in a professional environment.
• Strong communications skills both verbal and written
  
  

Education & Experience:

• A degree in Data Science, Data Analytics, or a closely related field
• 3-4 years of experience working with data – including, but not limited to:
• Creating dashboards and visualisations
• Using ETL tools to wrangle data into appropriate formats
• Running queries in a data warehouse to obtain answers for a variety of stakeholders
• Though not mandatory, knowledge in Data Factory and Figma will be considered a plus
  
  

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