Assistant Manager

<p style="margin:0px 0px 1rem;"><font color="#131313" face="Georgia"><span style="font-weight:bolder;">Job Summary</span></font></p><ul><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">We are seeking a highly skilled Data Scientist – Analytics & Insights to collaborate with our Product team and focus on optimizing user experience through data-driven insights. This role offers a unique opportunity to shape the analytics roadmap and influence key business and product decisions in a fast-paced e-commerce environment.</font></li><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">The ideal candidate will have strong expertise in product analytics, particularly within domains such as Search, Ads, Payments, Trust, and Risk, and will be passionate about leveraging data to enhance customer experience and drive business growth.</font></li></ul><p style="margin:0px 0px 1rem;"><font color="#131313" face="Georgia"><span style="font-weight:bolder;">Key Responsibilities</span></font></p><ul><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Conduct deep-dive analyses and evaluate A/B test results to provide actionable insights for product feature enhancements.</font></li><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Decode and validate web tracking mechanisms to understand and analyze user behaviors.</font></li><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Define and develop metrics and KPIs to measure product performance and success.</font></li><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Build dashboards and enable self-service analytics for commonly used metrics; onboard metrics to experimentation platforms.</font></li><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Partner with product, engineering, and business teams to uncover growth opportunities and guide decision-making.</font></li><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Leverage behavioral data, customer research, and data science techniques to deliver insights that influence the product roadmap.</font></li></ul><p style="margin:0px 0px 1rem;"><font color="#131313" face="Georgia"><span style="font-weight:bolder;">Qualifications & Experience:</span></font></p><ul><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Bachelor's or Master’s degree in Statistics, Applied Econometrics, Mathematics, Physics, Computer Science, Economics, Engineering, or related quantitative fields (or equivalent practical experience).</font></li><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">5+ years of professional experience in analytics or data science roles, with a focus on product analytics.</font></li><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Hands-on experience with site experimentation / A/B testing frameworks.</font></li><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Proficiency in analytical and data visualization tools such as SQL, Python, R, and Tableau.</font></li><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Strong communication and stakeholder management skills with the ability to present complex insights in a clear, actionable manner.</font></li><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Proven ability to work collaboratively in cross-functional teams and manage competing priorities in a fast-paced environment.</font></li></ul><p style="margin:0px 0px 1rem;"><font color="#131313" face="Georgia"><span style="font-weight:bolder;">Preferred Skills & Domain Expertise</span></font></p><ul><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Prior experience in product analytics across one or more domains: Search, Ads, Payments, Trust, Risk.</font></li><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Deep understanding of how product ecosystems in these domains operate.</font></li><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Experience in e-commerce or technology-driven organizations.</font></li><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Strong foundation in descriptive and inferential statistics.</font></li><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Demonstrated ability to translate analytical findings into strategic business recommendations.</font></li><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Exposure to Natural Language Processing (NLP) or Generative AI (LLMs) is a plus.</font></li></ul><p style="margin:0px 0px 1rem;"><font color="#131313" face="Georgia"><span style="font-weight:bolder;">Why Join Us?</span></font></p><ul><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Opportunity to work with global e-commerce leaders and impact millions of users.</font></li><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">A culture that encourages innovation, continuous learning, and data-driven decision-making.</font></li><li style="margin-bottom:1rem;"><font color="#131313" face="Georgia">Collaborative, inclusive, and dynamic work environment at the intersection of analytics, product, and technology</font></li></ul><p style="margin:0px 0px 1rem;"><font color="#131313" face="Georgia"><span style="font-weight:bolder;">We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status</span></font></p>