**Get To Know The Role****-Product Experimentation and A/B Testing**:- Collaborate closely with product managers to define hypotheses and design experiments aimed at improving the consumer experience.- Run A/B testing frameworks, quasi-experiments and statistical methodologies to measure the impact of product changes on key metrics such as user engagement, retention, and conversion rates.- Analyze experiment results to draw actionable insights and make data-driven recommendations for product iterations and enhancements.**-Advance Analytics, Root Cause Analysis and Insights Generation**:- Conduct in-depth analysis of user behavior data to uncover actionable insights and opportunities for product improvements.- Utilize advanced statistical techniques and machine learning algorithms to identify patterns, trends, and correlations in large datasets.- Work closely with cross-functional teams to translate insights into actionable recommendations for product enhancements and optimizations.**-Collaboration with Product Managers**:- Work hand-in-hand with product managers to understand user needs, pain points, and business objectives.- Provide analytical support and guidance to product teams throughout the product development lifecycle, from ideation to implementation.- Act as a strategic partner to product managers, helping them make informed decisions and prioritize features based on data-driven insights.**-Developing Product and Feature Performance Tracking Dashboards**:- Design and develop dashboards to track the performance of products and features, providing stakeholders with real-time visibility into key metrics and KPIs.- Implement data visualization best practices to ensure that dashboards are intuitive, informative, and actionable for product organizations.- Empower product managers and stakeholders to monitor the impact of product changes and make data-driven decisions to drive continuous improvement.- Highlight trends, anomalies, and areas for optimization through visually compelling dashboards, enabling proactive decision-making and rapid response to emerging issues.**Qualifications**- 1 to 3+ years experience in **Analytics, Business Intelligence or Data Science role,** preferably in an Internet company with large, complex, high-velocity data- Advanced SQL writing skills and experience in querying **large relational databases**:- Ability to distill data and articulate an actionable point of view to non-technical audiences and senior stakeholders using presentations, interactive visualizations, et al.- Ability to handle multiple priorities and solve ambiguous problems in a fast-paced environment- Hands-on experience with data analysis/programming tools like **R or Python and Data Visualization** platforms like **Tableau / PowerBI / D3.js, etc**:- Experience with designing, running, and analyzing A/B tests and product experiments.- Should also have an understanding of hypothesis testing and the basic principles of DoEPay: RM8,000.00 - RM12,800.00 per month**Education**:- Bachelor's (preferred)**Experience**:- Business Intelligence: 2 years (preferred)- large relational databases: 2 years (preferred)- Advanced SQL: 2 years (required)- R or Python: 2 years (preferred)- Data Visualization: 2 years (preferred)- Tableau: 2 years (preferred)- PowerBI: 2 years (preferred)- D3.js: 2 years (preferred)- Data Science: 1 year (required)- Data Analytics: 2 years (preferred)
