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Job Description :

• Identify and manage key data
• Conduct analytics studies and reports including KPI development for various objectives
• Provide support for various business units for data analysis
• Enforce data standard
• Design and develop scalable reports and dashboards
• Support DET for data marts, data mat design, and data quality assessment
• Monitor and report data activities and health
• Working with business units, identify opportunities for data process automation
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy

Requirements :

• Minimum Bachelor’s Degree majoring in Information Technology, Computer Science, Software Engineering, or related IT fields.
• At least 1-2 Year(s) of working experience. Fresh graduates are welcome
• Proven experience in managing data and performing data analysis
• Good technical skills in Phyton, SQL, Java, Data exploration, preparation, modeling, and reporting
• Strong problem solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Having Knowledge Big Data tools with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.  
• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
• Good in database, data integration and reporting tools would be plus
• Strongly self-motivated and highly motivated in learning new technology
• Ability to communicate with clarity compassion
• Able to work independently and in a team