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Merchandise Data Analyst
PT. Ritra Media Distribusi
Jakarta, Indonesia 
IDR  4,000,000 - 6,000,000/month
Data Science
Full-Time
1 - 3 years of experience
Posted 2 years agoUpdated a year ago

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Job description
The Role
The Merchandise Data Analyst researches and explores data-based information using data analysis tools. The goal of a Merchandise Data Analyst is to share meaningful insights from data to sell the right items and set optimum pricing to optimize sales & transactions at our vending machines
The Job Functions
  • Create new merchandise reports in tools such as Excel, Access,
  • Design vending machine plan'o'grams
  • Use existing reports to fulfill the needs of the merchandise department and other departments supported by the Merchandise Data Team.
  • Provide insight into existing merchandise reports and identify opportunities for improvement.
  • Present project findings to the Product Management team and key stakeholders.

Skills and Qualifications:
  • Bachelors or Masters degree / S1 / S2, preferably in Business/Marketing, Information Technology / systems, Computer Science, Economics or Mathematics.
  • Strong analytical skills.
  • Strong interpersonal, communication, and collaborative skills.
  • Proficient with Excel and Word.
  • Data processing experience in Python, R
  • Web development experience in HTML5, CSS, Node JS experience a plus.
  • Ability to work with limited supervision.
Must have skills
About the company
PT. Ritra Media Distribusi
PT. Ritra Media Distribusi
Smartven is a smart vending machine company that operates more than 100+ un-attended manless retail kiosk in Jakarta, Bandung, and Bali. Our machine accepts cash & electronic payments (go-pay, ovo, and linkaja.)
We are recruiting:
- Front end & Back end developers (Android, Javascript, CSS, HTML5)
- Hardware hackers : Python, C++
- UI/UX designers
- Operations & marketing army
We want to help people to transition from being employees, into business owners by starting your own business selling 24/7 using smart vending machines, food & beverages at busy locations, hospitals, university campus, school, shopping malls, apartments, offices, and recreational facitilies.
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