Finance internship - Jagoan Loker

Finance internship

Date Posted: 12 days ago
Salary:

Job Description

Roles and Responsibility: Finance Data Scientist

General Requirement: * Fresh graduate of final year student from Computer Science / Data Analyst program
  • Have basic understanding with BIG Data Management
  • Visualization skills to transform data to useful information for decision maker.
  • Available to have minimum contract of 6 months as an internship.
Skills and competency requirement: * Data Visualization
  • Python
  • Tableau
  • SQL and NoSQL
  • Linear Algebra and Calculus
  • Microsoft Excel
  • Critical Thinking
Data scientist is a person’s ability to present data findings via graphics or other illustrations. The purpose of this is simple: It facilitates a better understanding of data-driven insights, even for those who aren’t trained in data analysis. With data visualization, data analysts can help a business’s decision-makers (who may lack advanced analytical training) to identify patterns and understand complex ideas at a glance. This capability empowers you — the data analyst — to gain a better understanding of a company’s situation, convey useful insights to team leaders, and even shape company decision-making for the better.

Having Phyton / SQL / Tableau basic knowledge is a must.

Collaboration with Business Finance Controller to drive efficiency and automation.

Qualifications

Roles and Responsibility: Finance Data Scientist

General Requirement: * Fresh graduate of final year student from Computer Science / Data Analyst program
  • Have basic understanding with BIG Data Management
  • Visualization skills to transform data to useful information for decision maker.
  • Available to have minimum contract of 6 months as an internship.
Skills and competency requirement: * Data Visualization
  • Python
  • Tableau
  • SQL and NoSQL
  • Linear Algebra and Calculus
  • Microsoft Excel
  • Critical Thinking
Data scientist is a person’s ability to present data findings via graphics or other illustrations. The purpose of this is simple: It facilitates a better understanding of data-driven insights, even for those who aren’t trained in data analysis. With data visualization, data analysts can help a business’s decision-makers (who may lack advanced analytical training) to identify patterns and understand complex ideas at a glance. This capability empowers you — the data analyst — to gain a better understanding of a company’s situation, convey useful insights to team leaders, and even shape company decision-making for the better.

Having Phyton / SQL / Tableau basic knowledge is a must.

Collaboration with Business Finance Controller to drive efficiency and automation.

Schneider Electric

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Job Detail

  • Location
    Jakarta
  • Company
  • Type
    Private
  • Employment Status
    Permanent
  • Positions
    Available
  • Career Level
    Experience
  • Gender
    Male/Female

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