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• Build valuable use cases using the existing data sets and drive business decision-making with the outputs which are business driven. 
• Focus on outcomes and mediate user requests for data analysis.
• Drive outputs with a value proposition to a non-technical audience as a coherent story with clear and easy-to-follow conclusions with understandable and executable business outputs.
• Develop and build strategic analytics frameworks. 
• Collecting requirements for both new and existing products of the company
• Handle prioritization of various initiatives and communicate with key stakeholders regarding progress.
• Perform hands-on data analysis to design predictive systems or improve the performance of systems.
• Work on all aspects of creating predictive intelligence, including collecting requirements, establishing analytics work plans, data exploration, cleansing, and preparation, identifying features, selecting algorithms, building, and testing models, and improving solutions.
• Define, build, and develop use cases and solutions to solve business problems using optimization, clustering, regression, statistical inference, and relevant techniques.

Education & Qualification: 

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or other related fields is required.
• Exposure to big data systems and methodologies
• Proficiency in using query languages such as SQL, Hive, Spark QL, Python
• Proficiency in using statistical modeling tools such as R, SAS, SPSS

Working Experience:

• Minimum 2 years of working experience in a related field.
• Experience in extracting, cleaning, and preparing data for modeling.
• Experience in building and applying machine learning/predictive modeling in real-world use cases.

Other Required Skills: 

• Good communication in English & Khmer, both written and spoken.
• Having great communication & presentation skills.
• Creative and innovative problem-solving skills.
• Good team player, result-oriented attitude, strong attention to detail, and analytical mind.
• Intellectual curiosity and a passion for data and analytics.
• Strong desire to take initiative; ability to deal with ambiguity and competing objectives.
• Curious and constantly looking for new, practical ways to improve the status quo and possess a customer-first mindset.
• Hungry for innovation and improvement with a startup mindset.
• Someone who has a sound understanding of business principles and concepts and is able to bridge the gap between business vision and technical deliverables.
• Passionate about understanding customers (internal & external), knowing their needs and expectations, and working towards exceeding them.
• Dynamic and visionary with the ability and passion to drive and remove roadblocks particularly when there are time limitations and challenging resources.