Advanced Analytics Manager

2 weeks ago


Ho Chi Minh City, Ho Chi Minh, Vietnam PERSOLKELLY Vietnam Full time
High performance culture

  • Attractive salary package
  • International working environment
  • Be an ambassador for advanced analytics by creating custom insights, recommendations to meet our business growing and data needs
  • Contribute to the longterm roadmap for Business Intelligence's strategy such as single of truth, standard analysis, predictive and prescriptive analytics models to validate trends and performance correlations
  • Develop and deliver actionoriented, insightful analytics presentations that provide consultative directions to key stakeholders
  • Explore and visualize data to provide simplified clarity and understanding
  • Distill insights from measurements and generate compelling visualizations to tell relevant stories
  • Coordinates with multiple departments to lead business initiatives from an analytics perspective
  • Identifies areas of innovation and process improvement across the company
  • Hypothesis driven problem solving and performs deepdive analysis to find the root causes analysis (RCA)
  • Acts as a coach and mentor to less experienced analysts

Requirements:

  • Experience in business intelligence, data analytics and visualization in both of developing, managing, and operating DWH, BI tools.
  • Experience in data extraction, aggregation, transformation, modeling of data
  • Advanced SQL, R, Python, SAS, and other tool & skill at working with relational databases and nonrelational database to support analytical methods, database management, and communication of results
  • Experience of machine learning model: supervised learning vs unsupervised learning and artificial intelligence from training, scoring, deployment and turning model
  • Competent in BI technologies (Integration Services, SQL Server, MongoDB, Analysis Services, Auto-Machine Learning (AutoML), Power BI & Qlik)
  • Familiar with data manipulation/data mining/multidimensional data modelling
  • Experience in managing DWH and BI projects
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