Business Intelligence Systems Analyst

2 weeks ago

Central Singapore Ambiq Micro Full time

**Company Overview**:
**Business Intelligence Analyst**:
**Responsibilities**:

- Write code to collect data and build and maintain dashboard and reporting solutions for assigned business groups.
- Design, build, and maintain dashboards and reports for business units using enterprise BI tools.
- Define, guide, and deliver business intelligence projects from beginning to end, including for multiple business units.
- Test business intelligence solutions, including creating test plans/cases/scripts and executing test plans.
- Work with IT to create a data warehousing structure for a historical data repository.
- Independently identify inefficiencies and implements streamlined reporting processes to maximize process efficiency through automation, re-structuring, and elimination.
- Provide operational support and incident management for dashboards and reports, including proactively updating internal clients and relevant parties on status changes and issues encountered.
- Develop and deliver training about data marts and business intelligence, including continuing education and initial training for new users across the company.
Provide recommendations for process improvements.
- Training other employees on data analysis techniques and tools
- Stay up to date on the latest data analytics tools and techniques.

**Qualifications**:

- 6+ years of experience in an analytic, quantitative, or business intelligence role is required.
- Intermediate to advanced level quantitative, data analysis, and analytical thinking skills
- Bachelor's degree in data science, statistics, computer science, or equivalent combination of education/experience required.
- Comfortable working in a collaborative environment that is Dynamic and fast-paced.
- Prioritize various tasks, and cope with changes in daily workload.
- Ability to work independently and as part of a team.
- Self-motivated and able to work under pressure.
- Intermediate knowledge in programming languages such as SQL, R, or Python; business intelligence tools such as Tableau, Power BI, or equivalent, database technologies such as Microsoft SQL Server, Oracle, or No SQL databases

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