* Role Description

• This position is created from newly created Data Analytics functions that report under Commercial and Data Manager. The selected candidate will work on digital transformation projects across multiple functions, from business intelligence to building/scaling data products developed internally.

* Responsibilities

• Manipulate, interpret data, analyze results using statistical techniques, and provide ongoing business insights through dashboards and reports
• Design and develop DS or ML solutions given business use cases or user stories/features with a deep understanding of the assumptions, limitations, and trade-offs.
• Work with management to prioritize business and information needs
• Acquire data from primary or secondary data sources and maintain data warehouse
• Identify, analyze, visualize, and interpret trends or patterns in complex data sets
• Provide ad-hoc consultation and data analysis for business hypotheses
• Communicate with stakeholders to understand data content and business requirements
• Work closely with the Data Manager to create process and data governance policy to enable future expansion of the team

* Benefit package:

* Qualifications and Requirements

Education / Training Qualifications:

• University graduate, major / Computer Science / Statistics / Finance, preferred from International universities/institutions
• Experience: 1-2 years experience in Data Analytics. Experience in the retail industry, F&B, and FMCG is a plus.

Skill requirements

• Strong mathematical & statistical skills
• Excellent analytical skills and critical reasoning
• Presentation skill – the ability to write, speak, visualize, and present complex ideas
• Effective communication skills with stakeholders
• Be able to work effectively in a dynamic atmosphere
• Growth mindset – Continue to acquire new knowledge to improve technical / business knowhow
• Hands-on, can-do attitude

Tech Stacks

• SQL, Python
• Postgres, SQL Server / Non-SQL – Firebase / MongoDB, Data Warehouse
• Data science stack – Pandas, Numpy, visualization packages, SciPy, Scikit Learn, TensorFlow
• Web Scraping – Beautiful Soup, Selenium, Scrapy
• Development stack – Django, Flask (Good to have)