Назад
6 дней назад

Data Analytics Trainee

300 000KZT
Формат работы
remote (только Kazakhstan)/onsite
Тип работы
fulltime
Грейд
trainee
Английский
b1
Страна
Kazakhstan
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Описание вакансии

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TL;DR
Data Analytics Trainee (Python/SQL): Developing practical data analytics skills through data extraction, processing, visualization, reporting, and business-focused cases with an accent on Python, SQL, BI tools, statistics, and machine learning concepts. Focus on transforming datasets into actionable insights, exploring trends, and applying the full analytics lifecycle to real project tasks.

Location: Applications are open in Kazakhstan. Candidates from Almaty attend the program in-office; participants from other cities across Kazakhstan can join online.

Salary: from 300,000 KZT per month before taxes.

Company

Andersen is an international IT outsourcing company developing digital products for clients worldwide, including healthcare, e-commerce, banking, fintech, and enterprise solutions.

What you will do

  • Extract and process data for business-focused analytics tasks.
  • Explore patterns and trends and turn data into actionable business insights.
  • Create visualizations and reports using BI tools.
  • Apply analytics theory to real project tasks and business cases.
  • Learn a second technology and understand how data analytics integrates with software development.
  • Progress from the four-month traineeship to a commercial project after successful completion.

Requirements

  • English at Intermediate level or higher for verbal communication.
  • Basic understanding of programming, primarily Python for data analysis and modeling.
  • Familiarity with SQL for data extraction and manipulation.
  • Exposure to data visualization and BI tools such as Tableau, Power BI, or similar.
  • Understanding of fundamental statistical analysis and machine learning concepts.
  • Motivation to develop in data analytics and IT.

Nice to have

  • Bachelor’s degree or equivalent in Computer Science, Statistics, Mathematics, Economics, or a related field.
  • Familiarity with AWS, Google Cloud, or Azure.
  • Exposure to advanced machine learning techniques and TensorFlow or PyTorch.
  • Academic projects, internships, or hackathons related to data analysis, machine learning, or BI development.

Culture & Benefits

  • Four-month full-time program with five days and eight hours per week.
  • Hands-on learning based on real project tasks and business cases.
  • Experienced mentors, regular feedback, and a personal coordinator.
  • Transparent grades, clear growth paths, and an internal learning platform.
  • Analytics community for knowledge sharing and professional development.
  • Employment is available upon successful completion of the program.

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