Business Intelligence Analyst

Lee Yin Knitting Factory; Singapore; Presencial; SGD 60.000 - 90.000; Jornada completa

Descripción de la vacante

Lee Yin Knitting Factory is seeking a Business Intelligence Analyst to build and automate reporting across departments using AI tools (Claude, Power BI, SQL). Positioned as an analytical/strategic counterpart to the existing systems developer, this role reports to the Chief of Staff and serves as a strategic analytics function.

The role emphasizes data quality, standards, and cross-functional coordination, with dashboards, self-refreshing reports, and a strong focus on actionable insights for

Formación

• 0-4 years in a business analyst, data analyst, or BI-related role. Fresh graduates are welcome to apply.
• Demonstrated hands-on use of AI tools (ChatGPT, Claude, Copilot, or similar) for analytical or reporting work
• Working knowledge of Power BI or equivalent BI tool.
• Basic to intermediate SQL — enough to understand and query relational data structures.
• Experience with Smartsheet & Smartsuite is a plus.
• Exposure to ERP systems (SAGE X3 or equivalent) as a data source is a plus.

Responsabilidades

• Departmental reporting design & automation — define metrics, build automated dashboards/reports (Power BI, Smartsheet, etc.)
• AI-assisted analytics — use Claude and similar tools to query factory data and translate into structured reports
• Systems literacy, not systems ownership — understand SAGE X3, Marvel (MES), and SJ data sources
• Strategic analytics layer — translate factory strategy into a reporting roadmap
• Continuous improvement & standards — evaluate reports for redundancy, establish standards for new requests
• Cross-functional coordination — educate users on reading dashboards and coordinate with HQ IT and developers

Conocimientos

SQL

AI tools usage

Herramientas

Power BI

Descripción del empleo

Role Description：

This role as a Business Intelligence Analyst builds and automates reporting across departments using AI tools (Claude, Power BI, SQL). Positioned as an analytical/strategic counterpart to the existing systems developer. Reports directly to the Chief of Staff, reflecting that this is a strategic analytics function.

Responsibilities：

1. Departmental reporting design & automation
   - Work with department heads to define the metrics that actually drive decisions, not just metrics that are easy to pull
   - Build automated, self-refreshing dashboards and reports (Power BI, Smartsheet, or equivalent) that reduce manual data compilation
   -Prioritize leading indicators over lagging ones where possible

2. AI-assisted analytics
   - Use Claude and similar tools to query factory data (Marvel, SAGE, SJOnline, Power BI) in natural language and translate that into structured reports
   - Build repeatable prompt/workflow patterns so reporting isn't dependent on one person's manual query-writing
   - Pilot and scale "ask a question, get an answer" style analytics for non-technical department heads

3. Systems literacy, not systems ownership
   - Enough SQL/data-model understanding of SAGE X3, Marvel (MES), and SJ
   - Online to know where a number actually comes from, without being the ERP administrator
   - Flag data quality and definitional issues at the source rather than patching them downstream in reports

4. Strategic analytics layer
   - Act as the thinking layer above the existing systems developer — translating factory strategy and department needs into a reporting roadmap, rather than building point-solutions on request
   - Bring structure to what's currently ad hoc: which reports exist, which are used, which should be retired or consolidated

5. Continuous improvement & standards
   - Evaluate existing reports and dashboards for redundancy, ambiguity, or low usage
   - Establish lightweight standards for how new report requests are scoped, built, and handed over

6. Cross-functional coordination
   - Educate department users on how to read and use dashboards, not just how to request them
   - Coordinate with HQ IT and the systems developer on changes affecting reporting pipelines

Requirements：

• 0-4 years in a business analyst, data analyst, or BI-related role. Fresh graduates are welcome to apply.

• Demonstrated hands-on use of AI tools (ChatGPT, Claude, Copilot, or similar) for analytical or reporting work

• Working knowledge of Power BI or equivalent BI tool.

• Basic to intermediate SQL — enough to understand and query relational data structures.

• Experience with Smartsheet & Smartsuite is a plus.

• Exposure to ERP systems (SAGE X3 or equivalent) as a data source is a plus.