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What you will be doing: Data Analysis & Insights Analyze large, complex datasets to identify trends, opportunities and business risks Translate data into clear insights and actionable recommendations for stakeholders Support decision-making through ad-hoc analysis and deep dives Product & Growth Analytics Partner with Product Managers to define metrics, track performance, and measure success Design and evaluate experiments (A/B testing) to optimize product and marketing initiatives Support OKR setting and performance tracking with data-driven insights Data Visualization & Reporting Build, maintain, and improve dashboards and reports Develop scalable reporting frameworks to support business functions Ensure data accuracy, consistency and reliability in reporting Data Management & Collaboration Work with Data Engineering and Tech teams to define data requirements and improve data pipelines Identify gaps in data collection and tracking then recommend improvements Collaborate cross-functionally to promote a strong data-driven culture Data Governance Ensure proper metric definitions and consistency across teams Contribute to improving data literacy and best practices Market & Business Intelligence Conduct market, competitor and customer analysis to support strategy Generate insights into industry trends and customer behaviour What we are looking for: 3+ years of experience in Data Analytics, Product Analytics or related fields Strong hands-on experience with SQL Data visualization tools (Tableau, Power BI, Looker[JL1] & Metabase)[JL2] Experience working with product metrics (funnels, cohorts, retention, etc.) Familiarity with experimentation frameworks (A/B testing) Strong problem-solving skills and ability to work with ambiguous data Ability to structure complex problems and derive actionable insights Self-driven, proactive and comfortable in a fast-paced, agile and evolving startup environment. Strong stakeholder management and communication skills Curious mindset with a passion for learning and continuous improvement Nice to Have Experience in InsurTech, FinTech, or digital product environments Knowledge of data warehousing concepts (e.g. Snowflake, BigQuery) Experience with/Knowledge of Golang is highly desirable Experience with tracking tools (e.g. GA4, Mixpanel, Amplitude & Braze)[JL3] Experience with modern data stack tools, including: 1. dbt (data modeling and transformation) 2. Airflow or similar workflow orchestration tools 3. ELT tools such as Airbyte, Meltano, or equivalent Basic understanding of data engineering concepts and data pipeline What We're Offering: Competitive salary with performance-based bonuses 20 days annual leave & birthday leave & pet leave, etc Comprehensive group medical insurance Career growth pathway and development opportunities