Key Responsibility:

1. Business Engagement & Strategy

• Collaborate with business leaders to identify and prioritize analytics needs.
• Translate business goals into actionable data product and analytics requirements.
• Provide strategic recommendations for the data product roadmap based on business impact.
• Foster strong partnerships with stakeholders across functions.

2. Data Product Ownership

• Lead end-to-end development of data products—from ideation to launch and adoption.
• Ensure that data solutions are cost-effective, user-friendly, and aligned with business priorities.
• Drive user adoption and monitor usage to ensure business value is realized.
• Provide technical guidance and support to the data team and business users.

3. Project & Performance Management

• Manage and prioritize data initiatives to meet agreed timelines and quality standards.
• Monitor progress, communicate updates, and report outcomes to stakeholders.
• When issues arise, ensure that arise they are resolved within reasonable timeline, and at root causes

4. Cross-functional Coordination

• Collaborate with IT and other departments to understand upcoming initiatives that may affect data operations.
• Work with IT and cross-functional teams to mitigate risks and align technical execution with business timelines.

5. Quality Assurance

• Promote data integrity and quality across business processes.
• Ensure data governance policies and procedures are adhered to.
• Drive continuous improvement in data processes and analytics capabilities.

Qualifications:

• Bachelor’s degree in Business Analytics, Computer Science, Data Science, or a related field
• Proven experience in a business partnering, IT business analyst, or IT product owner role, with the ability to influence and drive business data strategy
• Strong project management abilities with experience in leading cross-functional projects
• Strong ability to analyze user requirements, make recommendations and implement solution
• Strong communication and interpersonal skills, with the ability to explain complex data concepts to non-technical stakeholders
• Proficiency in data analysis tools and technologies (e.g., SQL, Python, Power BI)
• Strategic thinker with a business-focused mindset
• Ability to prioritize and execute in high-pressured environment
• Ability to work in a fast-paced, dynamic environment
• Strong problem-solving skills

CP AXTRA | Lotus's
CP AXTRA Public Company Limited.
Nawamin Office: Buengkum, Bangkok 10230, Thailand

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