Job summary

● 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.

Job Responsibilities

CONTRACT DURATION: 3 MONTHS

● 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.

Experience requirements

● 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

Education requirements

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

Please click the APPLY button or contact Ms. Hieu Ngan at +84389910169 (Phone/ WhatsApp/Zalo) or hieungan.nguyen@adecco.com to discuss further.

Contact Person

• Hieu Ngan Nguyen
• Adecco
• Tel.