Job Location: Thailand
Your Challenge
- Empower stakeholders to improve the customer value through expert analysis of various types of customer data.
- Advocate data-driven decision making through for example experimentation and other quantitative analysis.
- Design advanced analytics solutions together with business stakeholders and product/analytics teams to maximize impact; function as the link and catalyst
- Pressure-test algorithms from a business logic perspective and develop value-proofs/ business cases
- Support in analysis and verification of model output and work with data scientists to improve accuracy of model
- Design new ways of working and support roll-out to the organization
- Identify commercial opportunities leveraging data and models.
- Analyze data using the latest web analytics and business intelligence techniques
- Develop calculation mechanisms to Ensure real-time data collection of customer behavior
- Provide data insights for technical solutions and system improvements to improve the customer experience based on interpretations
- Implement tools (e.g., Power BI or web-analysis dashboards) that help data consumers to extract, analyze, and visualize data faster and better through data pipelines
Requirements
- Understanding of using numerical, statistical and analytical methods to apply to data processing
- Hands-on knowledge of data analysis tools such as Alteryx, Apache Spark, SQL
- Advanced knowledge of MS Excel in the purpose of data analysis
- Hands-on knowledge in our of data visualization tools e.g. Tableau, PowerBI
- Ability to communicate and explain data and its implications to various stakeholders
- Analyze large amounts of data into clear insights
- Strive to reach goals, prioritize tasks and take direct action to address problems. Meet deadlines and achieve results.
- Establish priorities with clear goals and responsibilities to achieve a high level of performance.
- Advise the business in the best solution from both a business and maintainability perspective
- Translate business requirements into analytical requirements
- Strong experience and/or interest in technical product development
- Basic understanding of programming, statistics, machine learning, data munging, and data visualization
- Attention to detail and the ability to effectively present results
- Strong communication skills, orally and in writing
- Strong customer focus, commercial mindset and innate curiosity
- Attitude to thrive in a fast-paced environment
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