Data Analyst

  • Anywhere

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