Data Engineer
Responsibilities:
- Gather and Analyze Business Requirement from corporate users and Translate into data analytics problem and metrics, explore feasibility in term of data analytics solution, propose initial assessment of tools and technique of Data Analytics.
- Generate, Visualize, and Automate business process report or dashboard for corporate users.
- Act as a Product Owner to Develop Data -Driven solution or system that transform raw data into meaningful and useful information for the purposes of business decision making.
- Communicate business requirements to stakeholders (Data Management and Developer) in order to develop data mining solution.
- Collect, Analyze, and Present business-related information (Trend, News, Business Driver) which support corporate executives, managers, other end users.
- Provide best practices, consultation, support and/or training for corporate user in an area of Data Analytics.
- Working with Development Team for system integration
- Comply with the relevant requirement of ISO29110
Qualifications:
- Bachelor's degree or higher in Business Administration, Economics, or Engineering with heavy concentration in statistics. or related fields.
- Passion for Data Science, Machine Learning in a research or consulting basis
- A rigorous understanding of the fundamentals of statistics applied to business challenges and microeconomics is required
- Strong proficiency in Excel/Sheets, Python, SQL, or other related coding languages and statistical, and data visualization tools
- Experience in professional software development.
- Good written and spoken communication skills
It's Great If You Have
- Familiarity with decision techniques including optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models
- Experience in traditional analytics, text analytics, voice analytics, Machine Learning, Deep learning, and AI
- Experience building large-scale distributed products