Total 2 it analyst job vacancies in d03 queenstown tiong bahru

Responsibilities

• Responsible for the overall planning, design, delivery and promotion of the Customer Service bot data analysis
• Design an effective analysis and reporting system to enable internal teams quickly break-down key metrics, diagnose weak areas and suggest actionable items
• Collaborate closely with cross-functional teams including PM, data engineering, and Customer Service operations team to achieve product objectives
• Review Customer Service bot KPI and user cases regularly and find valuable insights to guide product and operation improvements

Requirements

• 5+ year experience; Bachelor’s degree and above in a quantitative or engineering field with professional work experience in a relevant field
• Strong analytical thinking and communication skills
• Experience with common analysis tools such as SQL, R, and Python
• Solid experience with at least one data visualization tool (Tableau, Qlik, PowerBI, etc.)
• Familiar and comfortable with large volumes of data and big data technology (Hadoop, Spark, Presto, hive)
• Experience in working with cross-functional teams to gather requirements and ability to set work priorities
• Good business sense and logical thinking. Ability to synthesize information and generalize the pattern
• Experience with customer service data analysis and AI bot analysis will be beneficial

Responsibilities:

Work across all aspects of data from engineering to building sophisticated dataset and visualizations

Analyze and interpret large volumes of transactional, operational and customer data using proprietary and open-source data tools, platforms and analytical tool kits

Use data to provide value-added analysis and reporting on operations, and risk domains.

Manage process enhancements and build data visualizations to monitor the effectiveness of enhancements

Translate complex findings into simple visualizations and recommendations for execution by operational teams and executives

Support day to day operations and promote a data-driven decision-making culture

Be part of a fast-paced industry and organization where time to market is critical

Willing to work on alternative hours (e.g. work on evenings to connect with teams based in different jurisdictions)

Requirements:

Master in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Artificial Intelligence.

A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages

A natural curiosity to identify, investigate and explain trends and patterns in data and an ability to analyze and break down complex concepts and technical findings into clear and simple language for communication

A passion for Emerging Technologies related to Blockchain