Data Product Manager
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Key skills for this role
About the Role
LotusFlare seeks a Data Product Manager to drive data-fueled products for its cloud-native digital commerce platform. You will define core metrics, analyze data, and execute growth experiments while working with cross-functional teams.
Key Skills for This Role
Responsibilities
- Contribute to the strategy, vision, prioritization, and execution of data analytics products for LotusFlare’s web and mobile platforms
- Work closely with data scientists and data engineers to analyze diverse sources of data to devise actionable insights
- Define core metrics that measure the drivers of the business
- Develop, execute, and test different growth experiments that have a significant impact on conversion across all funnels
- Analyze and monitor qualitative and quantitative data on the web and mobile app products to develop the most remarkable user experience
- Present findings and prepare strategy recommendations to executive stakeholders
- Partner with cross functional teams including engineering, UX/UI, sales, marketing, and customer success to build growth strategies
Requirements
- Undergraduate degree in Economics, Engineering, CS, Math, Statistics, Physics or similar quantitative field
- Excellent SQL and Python skills
- Experience with Tableau, Quicksight, Data studio or other reporting and visualization tool
- Fluent with data analysis, A/B Testing, and statistics
- 1 5 years of previous experience in product management, software development, growth product management, or analytics
- Efficiency with mainstream AI tools/models
Full Job Posting
Company Overview
- LotusFlare designs, builds and advances a cloud native digital commerce and monetization platform.
- The platform serves as a digital BSS for communications and media services providers.
Role Summary
- As a Data Product Manager, you will work on products throughout their whole life cycle.
- You will advocate data fueled products that help customers make data driven decisions.
Responsibilities
- Contribute to the strategy, vision, prioritization, and execution of data analytics products.
- Work closely with data scientists and data engineers to analyze diverse data sources.
- Define core metrics that measure the drivers of the business.
- Develop, execute, and test growth experiments across acquisition, activation, retention, engagement, and monetization.
- Analyze and monitor qualitative and quantitative data on web and mobile app products.
- Present findings and prepare strategy recommendations to executive stakeholders.
- Partner with cross functional teams including engineering, UX/UI, sales, marketing, and customer success.
Requirements
- Undergraduate degree in Economics, Engineering, CS, Math, Statistics, Physics or similar quantitative field; advanced degrees a plus.
- Ability to synthesize disparate quantitative and qualitative data sets.
- Excellent SQL and Python skills.
- Experience with Tableau, Quicksight, Data studio or other reporting and visualization tool.
- Strong communication skills and ability to lead external client presentations.
- Fluent with data analysis, A/B Testing, and statistics.
- 1 5 years of previous experience in product management, software development, growth product management, or analytics.
- Efficiency with mainstream AI tools/models.
We Offer
- Competitive salary package.
- Paid lunch (In the office).
- Private healthcare.
- Yearly bonus.
- Training and workshops.
- Top of the class engineers to learn from and work with.
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