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
● Bachelors or Masters degree in Statistics, Analytics, Economics, Mathematics, Engineering, or other quantitative subjects
● 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 DoE