Product Manager - eCommerce

Product Manager

Specific day to day responsibilities will include but will not be limited to :

1. Identify and Track Product KPIs

a. Identify Product KPIs for defined feature / funnel / experience on the Mobile, Desktop and partner platforms.

b. Integrate the tracking of the KPI & associated metrics into the development module. Own the end-to-end Implementation & User-Acceptance-Testing of Google Analytics across Android & iOS Apps, Mobile & Desktop websites.

c. Track each KPI obsessively on a daily basis.

d. Troubleshoot and debug existing analytics implementation.

e. Partner with key stakeholders and cross-functional teams to implement and track analytics initiatives across teams; Serve as the point of contact for analytics / tracking requests.

2. Hypothesis generation & validation

a. Generate hypothesis basis data analysis that is associated with the defined features / experiences.

b. Identify experiments, research studies and A/B experiments to validate / reject hypothesis. Understand A/B and multivariate testing to be able to implement A/B testing experiments across digital assets.

c. Derive insights from the hypothesis validation / rejection exercises and share with relevant crossfunctional teams.

Lead the reporting of actionable insights :

a. Be on top of all user feedback coming through multiple channels, market trends and macro-environment on a regular basis for defined features / experiences.

b. Assess every step of defined product funnels & identify opportunity to improve conversion across funnels to build great consumer journeys.

c. Perform structured / adhoc analysis to capture consumer clickstream behavior across all assets.

d. Crisply and impactfully report on KPIs highlighting insights and pro-actively identify issues / improvement areas for the customer experience and business outcomes. Build reports & automated dashboards to share insights with a myriad of stakeholders.

What will you need to succeed in this role?

- Excellent problem solving and analytical skills - ability to develop hypotheses, understand and interpret data within the context of the product / business - solve problems and distil data into actionable recommendations.

- Strong number crunching and quantitative skills. Intellectual and analytical curiosity initiative to dig into the why, what & how.

- Advanced knowledge of MS Excel and PowerPoint. Ability to write complex SQL queries to pull data from SQL databases.

- Expertise in business analytics tools & statistical programming languages. Working knowledge of R or Python to pull data and automate reports.

- Strong communication skills with the ability to confidently work with cross-functional teams across the organization and to present information to all levels of the organization.

- Inherent interest in the FoodTech, eCommerce and in the consumer Internet & mobile space.

- Most importantly, an extremely positive Can Do attitude which continuously drives you to take initiative and demonstrate a high degree of self-motivation.

- Strong team player and leadership skills