(662) 089 - 4000

Senior Data Engineer

Responsibilities:

  • Conduct analysis and provide actionable insights that will be used to determine the effectiveness of learning courses.
  • Identify, analyze and interpret trends or patterns in complex data sets, using statistical techniques, predictive models and machine-learning algorithms.
  • Track and analyze learning measurement and assessment trends, industry standards, and other benchmarking data to integrate and communicate their value in reporting.
  • Deliver custom data visualization reports for different courses and curriculums.
  • Train appropriate users on analytical tools to ensure widespread adoption of best.
  • Enhance the level of analytics capability among LIC execution and leadership, driving a results data-driven culture.
  • Stay on top of technical (coding) and statistical/ Machine Learning/ AI tools and techniques to recommend the best approach which is commercially viable.

Qualifications:

  • Bachelor’s degree in related field (Computer Engineering, Computer Science, Statistics or Math).
  • At least 7 years of work experience as a data analyst or in a related field.
  • Demonstrated experience in handling large data sets.
  • Microsoft Excel, Tableau or PowerBI is A MUST.
  • Understand statistic and technic cleansing data for training model
  • Understanding of machine-learning, searching algorithms, advance analytic and operations research
  • Structured problem solver ability with excellent analytical and organizational skills.
  • Proactive, self-motivated and results-oriented team player with a strong sense of accountability and consistent follow-through.
  • To be able to handle enterprise wide large datasets with flexibility in learning new platforms/ techniques and coding languages (e.g. SQL/ Python/ Spark/ other development platforms) for analysis/ solution delivery.

Other Position

2024-08-19T17:20:36+07:0019 August 2024|
Go to Top