About the Role
We are looking for a proactive, business-minded Data Analyst to join our team. In this role, you will be the bridge between complex data and strategic execution, transforming raw operational and business data into high-impact insights and production-grade dashboards.
You will work closely with our Engineering, Product, and Operations teams to build scalable analytics solutions, define core performance metrics, and support data-driven decision-making across the company. This is a high-ownership role suited for someone who thrives in a fast-paced environment and is comfortable wearing multiple hats.
Key Responsibilities
- Dashboard & Reporting Architecture: Design, build, and maintain robust, production-level BI dashboards (Tableau / Metabase / Power BI) to track core business KPIs, operational health, and user metrics.
- Cross-Functional Collaboration: Partner directly with Software Engineers, and Operations to translate ambiguous business requirements into actionable data pipelines and analytical frameworks.
- Deep-Dive Analytics & Insights: Conduct exploratory data analysis to identify trends, pinpoint operational bottlenecks, and uncover growth opportunities across business units.
- Data Hygiene & Infrastructure Support: Collaborate with the tech team to validate data accuracy, define event schemas, optimize SQL queries, and ensure reporting consistency across all platforms.
- Metric Standardization: Lead efforts to define, document, and standardize key performance indicators (KPIs) across different departments to ensure a single source of truth.
Requirements
Requirements & Qualifications
- Technical Stack:
- Proficiency in SQL (advanced queries, aggregations, window functions, and performance tuning).
- Hands-on experience with visualization tools.
- Familiarity with Python or R for exploratory data manipulation, scripting, and statistical analysis is a strong plus.
- Experience & Mindset:
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or related quantitative fields (or equivalent practical experience).
- Experience working in a tech startup, fast-scaling environment, or high-velocity analytical setting.
- Strong business acumen: able to see the business logic and user behavior behind the numbers, not just run queries.
- Self-starter with high ownership—comfortable operating independently with minimal handholding while knowing when to align.
- Communication & Languages:
- Excellent interpersonal and storytelling skills—capable of explaining analytical findings clearly to both technical engineers and non-technical business stakeholders.
- Strong working proficiency in English; fluency in Cantonese and/or Mandarin is an advantage.
Benefits
- Dynamic, flat-structured, and collaborative startup culture with high visibility and direct impact on business direction.
- Opportunity to work with cutting-edge tools and a top-tier cross-functional team.
- Competitive compensation package and clear growth opportunities.