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Data Analyst Intern Jobs

Company

QarirGenerator

Address Area DKI Jakarta, Indonesia
Employment type INTERN
Salary
Expires 2023-09-08
Posted at 8 months ago
Job Description

QarirGenerator is currently hiring for the position of Data Analyst Intern! We are looking for dynamic individuals, if you are passionate about data processing success and have a strong analytical mindset, this might be the perfect opportunity for you!


As a Data Analyst Intern at QarirGenerator, you will have the chance to work with a talented team, collaborate with cross-functional stakeholders, and contribute to the development of innovative programs that make a difference in the industry. This role offers tremendous growth potential and the opportunity to learn from experienced professionals in the field.

Responsibilities

  • Assist the design and development of analytical projects designed to understand key business behaviors that drive customer acquisition, retention, and engagement through machine learning and/or statistical modeling.
  • Conducts statistical analyses to develop strategies,
  • Discover new opportunities to optimize the business through machine learning and/or statistical modeling.
  • Collaborate with team members from data science and other teams to develop data science solutions
  • Interpret complex data sets and communicate actionable insights to stakeholders through clear and concise reports, presentations, and visualizations.
  • Develop and maintain client analytics reports.


Qualifications

  • Should be able to articulate data science outcomes in a way that business stakeholders can understand.
  • Collaborative team player
  • Ability to use data visualization tools to showcase data insights for business partners
  • Hands-on experience: Python - Pandas, Numpy, Scikit learn SQL
  • Passion for problem-solving and comfort with ambiguity
  • Intellectually curious and always learning
  • Good communication skills to promote cross-team collaboration
  • Exposure to data science through relevant projects, courses.
  • Machine learning models such as random forests, gradient-boosted trees, or neural networks


NOTE:


THIS IS JUST FOR THE INTERNSHIP PROGRAM