Data Product Manager, Global eCommerce Supply Chain System (Annual NET Income Over $100,000)
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Job description
ABOUT US
Crossian is a high-growth technology-driven e-commerce business. Behind our success is our people. As a start-up formed in 2020, we have created a fast-paced and dynamic environment, enabling our people to reach $100 million of revenue in 2024, a cumulative average growth rate of over 1000% in just under 4 years. Our mission now is to harness the power of technology to develop a direct-to-consumer approach and enhance customer lifetime value.
As part of Technology Innovations Department, you'll work in a Agile, and tech-startup environment inspired by Unicorn worthy culture.
We are developing a comprehensive and sophisticated Global eCommerce Platform specializing in Supply Chain Management, with a focus on Inventory Management, Manufacturing Management, and Order Fulfillment. Our system currently supports approximately > 100K product variants.
Our solutions include:
- Advanced inventory management to ensure accurate stock levels and streamline operations, including a feature that suggests restocking orders when certain variants are low in stock, considering upcoming sales plans.
- Manufacturing management tools to optimize production schedules and reduce overhead.
- End-to-end order fulfillment capabilities to manage shipping, tracking, and delivery efficiently.
WHY TO JOIN US
We’re not just about building platforms; we’re about creating a workplace where talent thrives. Here's what you’ll gain:
Exceptional Compensation
- Up to 30 months of salary per year through competitive salary packages and performance-based bonuses.
-Total annual NET income over $100,000, reflecting your expertise and contribution.
Growth Opportunities
- Hands-on exposure to cutting-edge technologies and complex system architecture in a global-scale business.
- Clear career advancement pathways and access to continuous professional development programs.
Global Vision
- Contribute to projects that redefine how brands connect with consumers globally.
- Opportunity to work on challenging problems in data analytics, and operational efficiency.
WHAT YOU WILL DO
- Establish clear goals for inventory optimization - such as minimizing stockouts, reducing overstock, or improving replenishment cycles - aligned with overall business strategy.
- Create and maintain a product roadmap that prioritizes initiatives (e.g., real-time inventory monitoring, and automated reordering systems).
- Collaborate with supply chain teams, operations, finance, marketing, and customer service to understand pain points and business needs.
- Translate business problems into clear, actionable product requirements and user stories for data science and engineering teams.
- Work closely with data scientists, engineers, UX/UI designers, and business analysts to build and refine data products
- Partner with data scientists to design, test, and validate predictive models and algorithms
- Work with analytics teams to build dashboards and visualizations that provide real-time insights
- Oversee the integration of disparate data sources (e.g., sales, supplier data, and warehouse systems) to create a unified view for analytics.
Job requirements
WHAT WE ARE LOOKING FOR
- Background in Data Science, Data Engineering, Data Analysis, or Product Management
- Knowledge of statistical modeling and machine learning techniques
- Proficiency in data analysis tools like Excel, SQL, Python, and data visualization software
- Strong problem-solving skills and ability to think analytically
- Strong verbal and stakeholder-facing communication skillset
-Solid documentation writing skills
- English proficiency
- Knowledge of Agile methodologies and experience working in Agile environments
Preferred (but not required)
- Strong business acumen and understanding of e-commerce operations
- Experience with inventory management systems and software
- Experience in managing projects, including setting timelines, milestones, and deliverables
Competitive Analysis
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Price
29.000đ / time
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What We Can Offer
Bonus
Total annual NET income over $100,000, reflecting your expertise and contribution.
Training
Others
Opportunity to work on challenging problems in data analytics, and operational efficiency.
Job Information
04/02/2025
Experienced (non-manager)
Information Technology/Telecommunications > Data Engineer/Data Analyst/AI
Data Science, Python, SQL, Agile, Data Engineering
E-commerce
Any
1
Any
Job Locations
Hà Nội, Vietnam
Tầng 1, Pax Sky, 63-65 Ngô Thì Nhậm, Phường Phạm Đình Hổ, Quận Hai Bà Trưng, TP Hà Nội, Việt Nam
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