Responsibilities
- Join a specialized global team within the APAC region, operating in a flexible work environment.
- Train commercial teams and clients on leveraging innovative consumer data products, including take-home panels and receipt-based tracking systems.
- Serve as a subject matter expert on panel design and end-to-end construction of high-quality industry panels.
- Communicate research findings and strategic recommendations clearly to internal and external stakeholders.
- Assess existing analytical methods and propose improvements in areas such as data cleaning, preparation, quality monitoring, and consumer behavior modeling.
- Contribute to documenting analytical outputs, methods, and standardized procedures.
- Design and build prototypes addressing emerging market needs using new data science techniques.
- Assist in transitioning developed solutions into live production environments.
- Detect potential data quality issues and track resolution efforts.
- Collaborate with stakeholders on project scope, implementation, data sharing, and expected results.
- Perform in-depth analysis and deliver insight-rich presentations of outcomes.
- Monitor advancements in data science for potential application in current or future projects.
- Promote internal knowledge sharing and technical collaboration across teams.
Team
Global team focused on consumer markets within the APAC region, operating in a flexible work setup.
Responsibilities
- Join our Consumer Market Leader specialized global team in the APAC region, in a flexible working environment.
- Help to educate our commercial associates and our clients in how to use our innovative Consumer products, from take home panels to receipt capture and beyond.
- Be a panel expert: understand end-to-end how we construct the best panels in the industry.
- Present and communicate findings and recommendations based on research and analysis.
- Evaluate current methodologies and identify opportunities for enhancement (input data cleaning, data preparation methodologies, data quality tracking, consumer projection).
- Support documentation of findings, methodologies, and best practices.
- Develop the prototypes of new solutions/methodologies to new market challenges.
- Support production deployment of proposed enhancements/new solutions.
- Identification of quality risks and follow up on solutions
- Engagement with stakeholders on scope, execution, data exchange and outcomes for assigned projects
- Expert-level analysis of results and presentations with insights
- Screen the market for potential new Data Science approaches
- Foster knowledge exchange within the company.
