Key Responsibilities
- Data Analysis & Insights: Analyze complex datasets from multiple sources using SQL and Python to identify trends, patterns, and opportunities for business growth.
- Stakeholder Collaboration: Partner with cross-functional teams (e.g., Finance, Product, Operations, Brand Partnerships) to understand their business needs, define key performance indicators (KPIs), and gather requirements for new data products or process improvements.
- Visualization & Reporting: Design, build, and maintain interactive dashboards and automated reports using BI tools like Tableau or Power BI to provide stakeholders with actionable insights and track business performance.
- Process Optimization: Identify opportunities for automation and efficiency gains within existing business workflows. Develop and implement solutions to streamline data collection, processing, and reporting.
- Requirements Lifecycle Management: Document business and system requirements, manage user acceptance testing (UAT), and ensure that the final technical solutions align with business objectives and regulatory needs.
- Data Governance: Uphold data integrity and quality standards by validating data, documenting data flows, and adhering to data governance frameworks.
Qualifications & Requirements
- Education: Bachelor's Degree in Business Analytics, Data Analytics, Computer Science, Statistics, Engineering, or a related quantitative field.
- Experience: Minimum of 2-5 years of experience in a Business Analyst, Data Analyst, or Business Intelligence role. Senior roles require 8+ years of relevant experience.
- Technical Skills:
- Advanced proficiency in SQL for data querying and manipulation.
- Strong experience with a programming language like Python (using Pandas, NumPy) or PySpark for data processing.
- Expertise in at least one BI/Visualization tool, preferably Tableau or Power BI.
- Advanced skills in Excel.
- (Preferred) Experience with data warehousing, ETL processes, or cloud data platforms.
- Soft Skills:
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex data concepts to non-technical audiences.
- Detail-oriented with a commitment to data accuracy and quality.
- Ability to work collaboratively in a team environment and manage multiple stakeholders.
- Other Relevant Information:
- Medical Tests: Medical screenings are not typically a prerequisite for analyst roles. However, they may be required upon successful hiring, especially for positions within government agencies (like NEA or MOH) or the healthcare sector.
- Work Eligibility: Candidates must have or be able to obtain the right to work in Singapore.
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