The Role & Responsibilities
About the Company
Our client is a globally recognized leader in the food and beverage industry, with a strong presence in Thailand and international markets. Committed to innovation, quality, and sustainability, they offer a diverse portfolio of products that cater to evolving consumer needs. With a focus on health, nutrition, and well-being, they continue to set industry standards while driving long-term growth.
This is an exciting opportunity to be part of a company that values excellence, customer-centricity, and continuous development, providing exposure to dynamic market strategies and global business operations
Job Responsibilities
Develop and implement a data and analytics strategy and roadmap that aligns with the business unit's overall strategy and drives value.
Create a prioritized portfolio of data and analytics use cases that address existing business challenges and opportunities.
Develop business cases for use cases, documenting costs, benefits, and impact.
Execute entity-driven use cases and embed scaled analytics on strategic/execution use cases from functions, categories, or joint market value within their market.
Demonstrate test-and-learn scenarios in a smaller scope, innovate new ideas, and showcase value.
Orchestrate data governance within the market, working with stakeholders, stewards, owners, and the data office.
Manage change and adoption for use cases to ensure value realization.
Act as the custodian of data literacy in the market, ensuring that data literacy needs are met for all functions and categories.
Measurements/Performance Indicators
Cross-functional data and analytics roadmap adherence to function planning cycle and timelines
Business value generated from embedded scaled analytic solutions and analytics projects within the roadmap
NPS score from project stakeholders
Number of test-and-learn/innovation projects created
Adherence to relevant data governance/quality measures
Embedding of knowledge within the market and subsequent usage of value-added solutions
Baseline market analytical maturity and track usage of analytical tools in relation to training
Key Outputs: Stakeholder Engagement and Analytics Evangelization
Identify opportunities to leverage analytical techniques on data assets to drive business solutions.
Lead teams towards an analytical culture change through the presentation of analytically based business recommendations.
Socialize best practices to the market analytics community and participate in communities of practice.
Lead community development within the market, coach citizen analysts, and develop/highlight talent.
Measurements/Performance Indicators
Development of business partnerships with key stakeholders
Number of analytical interventions and innovations on a roadmap
Adoption of new ways of working based on analytical deliveries for the local market
Number of analytical practitioners within a market
Requirements
Educational Background: Bachelor's or higher degree in Engineering, Computer Science, Mathematics, or Statistics.
Commercial Analytics Experience: 10+ years of experience in commercial analytics.
Executive Advisory: Proven ability to directly advise senior executive leadership team members.
Data Visualization and Statistical Expertise: Demonstrated experience in data visualization and knowledge of statistical techniques and software (e.g., MS Power BI, R, Python, Open Source) and cloud environments (AZURE, AWS, Google Cloud, etc.).
Analytical Model Implementation: Experience leveraging analytical models to solve business problems, with successful implementation and proven business value return.
Simplifying Complex Information: Ability to simplify complex messages and make them understandable to business people.
Business Acumen: Demonstrated business knowledge in FMCG/CPG or Retail industry and experience applying analytics to scenarios within this domain.
Communication and Teamwork: Excellent written and verbal communication skills, with experience in coordinating across teams.
Communicating Complex Insights: Proven ability to communicate complex results and insights to both technical and non-technical audiences, leading to successful analytic collaboration.
Leadership: Demonstrated ability to lead a team and work with minimal supervision.
Global Collaboration: Demonstrated experience working in a global environment and with virtual teams, leading to business value.
Customer Focus: Demonstrated experience utilizing excellent customer-facing skills to drive analytic collaboration.
Business Understanding: Broad knowledge and understanding of the business and functional end-to-end flows, including their processes and interdependencies.