Overview
Business Analyst / Data Analyst Jobs in Kallang, Central Singapore Community Development Council, Singapore at Club Auto des Grandes Ecoles
Title: Business Analyst / Data Analyst
Company: Club Auto des Grandes Ecoles
Location: Kallang, Central Singapore Community Development Council, Singapore
Role Description
We are seeking an analytical, curious, and insight-driven Business Analyst / Data Analyst to bridge the gap between raw data, business requirements, and strategic decision-making. In this hybrid role, you will take ownership of transforming complex datasets into meaningful business insights, evaluating operational workflows, and translating stakeholder needs into structured technical specifications. You will collaborate closely with Product Managers, Data Engineers, Operations leads, and Department Heads to identify business bottlenecks, evaluate performance trends, and design data-backed solutions that optimize business outcomes. Responsibilities include writing advanced SQL queries, building automated BI dashboards, modeling core KPIs, performing root-cause variance analyses, and documenting functional business requirements. Additionally, you will lead discovery sessions, validate data integrity across enterprise systems, support user acceptance testing (UAT), and present actionable recommendations to technical and non-technical stakeholders alike. Success in this position requires a strong blend of quantitative analysis, technical query proficiency, functional business analysis expertise, and the clear communication necessary to turn data into business value.
Qualifications
- Education: Bachelor’s degree or higher in Business Analytics, Data Analytics, Computer Science, Information Systems, Statistics, Finance, Industrial Engineering, or a related quantitative field.
- Requirements Engineering & BA Principles: Proven capability in eliciting functional and non-functional requirements, writing user stories, mapping business processes (BPMN/flowcharts), and conducting gap and feasibility analyses.
- SQL & Data Querying: Advanced proficiency in SQL (writing complex joins, CTEs, window functions, and subqueries) to extract, manipulate, and analyze structured data from relational databases and cloud data warehouses (e.g., PostgreSQL, MySQL, Snowflake, BigQuery).
- BI & Data Visualization: Hands-on experience designing, building, and maintaining interactive enterprise dashboards and self-service reporting tools using platforms such as Power BI, Tableau, or Looker.
- Data Modeling & Analytical Methods: Solid understanding of relational database structures, data modeling concepts, statistical analysis, trend forecasting, and cohort/funnel analysis.
- Spreadsheet Proficiency: Advanced mastery of Microsoft Excel or Google Sheets (Pivot Tables, XLOOKUP, INDEX/MATCH, complex logical formulas, and data auditing) for ad-hoc modeling and quick diagnostics.
- System Testing & Data Validation: Experience conducting data reconciliation, validating backend data against dashboard outputs, drafting test cases, and leading User Acceptance Testing (UAT) with business users.
- Problem Solving & Critical Thinking: Exceptional analytical problem-solving skills with a proven track record of synthesizing unstructured data into clear, high-impact business insights.
- Stakeholder Management & Storytelling: Strong written and verbal communication skills, with the ability to translate complex data findings into actionable recommendations for business unit leaders and C-suite stakeholders.
- Agile & Collaboration Tools: Practical experience working within Agile or Scrum project frameworks, using tools such as Jira, Confluence, Asana, or Azure DevOps.
- Professional Attributes: Highly detail-oriented, adaptable, and proactive, with an absolute commitment to data accuracy, process clarity, and continuous analytical learning.
