- Petaling Jaya Selangor Malaysia
工作地点
职位描述
岗位职责
This role will be responsible for providing operational support to the DPE Global Business Intelligence Environment and Analytical Data Services. Its primary responsibilities are to attend to all user support requests and ensure they are resolved in a timely manner.
Responsibilities:
• Ensure Service Desk support requests are promptly responded to and actioned
• Ensure Analytical Data Systems & BI Systems/portals remain operational during Domino’s Business hours
• Ensure reports are released accurately and on-time on a scheduled or ad-hoc basis
• Ensure production processes, data feeds, ETLs and AI tools function correctly as required by the business
• Responsible for the daily and weekly reporting and data loading tasks
• Manage change releases to Production systems
• Rostered weekend support
• Maintain Data/BI documentation and assist in admin tasks
• Attend to all Business Intelligence & Analytical Data support requests in a timely manner, and escalate to team members where required
• Ensure the Analytical services provide timely and accurate information to the business.
• Monitor and support all Analytical Data feeds (internal & external)
• Monitor and support all BI scheduled reports
• Learning SSRS & Power BI
• Manage priorities and communicate with stake holders on their respective requests
Requirements:
• 1 - 4 years experience using T-SQL (perform data extracts to answer business questions)
• Good communication skills
• Good time management and organisational skills
• Strong attention to detail
• Problem solving skills
• Have a good understanding of Data and what is Data Quality
• Ability to self-learn Analytical tools, including Power BI, Azure Data Factory
• Passionate about new and emerging technologies
• Degree qualified
• Ability and willingness to liaise with senior stakeholders as required
• Networking and communication skills (both verbal and written)
• Able to support teams in multiple time zones.
• Nice to have: Knowledge of report authoring tools, SSRS, Power BI & Snowflake
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