Job Requirements
1 - 3 years of experience
Minimum Bachelor’s Degree
Job benefits
Free food & beverages
Overflowing pantry or meal allowances, offering free food at work helps with company morale
Team-building events
Build camaraderie and trust within the company
Career growth
Take your knowledge to the next level with our assistance program
Workstation assistance
Laptop or desktop? We don’t mind! As long as you’re happy with the tool to help you!
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![Mindo Small Business Solutions](https://glints-dashboard.s3.amazonaws.com/profile-picture/9ad2d5188192ac4ce03146c8159d3dfb.png)
Mindo Small Business Solutions
Online yesterday
Skills
Job description for Data Scientist at PT. Mindo Small Business Solutions
Requirements :
Mandatory:
- SQL knowledge (MySQL) - Strong SQL skills in creating and optimizing SQL queries
- Spreadsheets (Google Sheet) - Ability to create structured and dynamic tables and charts
- Critical thinking - Looking at the data and identifying patterns or singularities to uncover connections and synthesize the information
- English - Fluent in both written and spoken English
Strongly recommended:
- Data Visualization Tools - "Tableau" strongly recommended (or others)
- Presentation Skills - Creating visuals that speak to everybody and being able to present them and explain where the data come from
Optional:
- Programming Skills - (VBA Macros, R, Python, or others)
Responsibilities :
- Designing and maintaining data systems and databases; including fixing coding errors and other data-related problems.
- Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either humans or machines.
- Using statistical tools to interpret data sets, paying particular attention to trends and patterns could be valuable for diagnostic and predictive analytics efforts.
- Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.
- Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.
- Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications.
- Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary.
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