TLDR

Lead and execute a comprehensive BI strategy, overseeing data governance and analytics to drive product, marketing, and operations decisions.

Job Description

- Business Intelligence Strategy: Develop and execute a comprehensive business intelligence strategy aligned with the company's goals and objectives.

- Team Leadership: Lead and mentor a team of business analysts, data scientists, and data engineers to ensure the effective delivery of insights and analytics.

- Data Collection and Integration: Oversee the collection, integration, and management of data from various sources, ensuring data accuracy and reliability.

- Data Analysis: Utilize advanced analytics techniques to extract valuable insights from data, identifying trends, patterns, and opportunities for business improvement.

- Reporting and Visualization: Create and maintain interactive dashboards and reports that provide stakeholders with real-time access to key performance indicators (KPIs) and actionable insights.

- Data Governance: Establish and enforce data governance policies and standards to maintain data quality, security, and compliance with relevant regulations.

- Strategic Planning: Collaborate with senior management to develop data-driven strategies for product development, marketing, sales, and operations.

- Market Research: Conduct market research and competitive analysis to identify emerging trends and opportunities in the cosmetics industry.

- Budget Management: Manage the department's budget, allocating resources efficiently to support business intelligence initiatives.

- Stakeholder Communication: Effectively communicate insights and recommendations to executives and department heads, translating complex data into actionable insights.

 

Qualifications

1.     Bachelor's degree in business, data science, statistics, Industrial Engineering, or a related field (master’s degree preferred).

2.     Proven experience (8+ years) in business intelligence, data analysis, or related roles in project management and implementation, with at least 3 years in a leadership capacity.

3.     Familiar with data analytics tools and technologies (e.g., SQL, Tableau, Power BI, Python).

4.     Familiar with Project Management tools (e.g., Asana, Microsoft Planner)

5.     In-depth knowledge of data analytics, data visualization and action plan implementation

6.     Excellent problem-solving skills and the ability to think critically.

7.     Strong communication and presentation skills.

8.     Experience in the cosmetics industry or a FMCG industry is a plus.

9.     Familiarity with regulatory requirements related to data privacy and security (e.g., PDPA)

 

Location: Head Office Rama9 Soi53


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