Added
7 days ago
Type
Internship
Salary
Salary not provided

Related skills

sql python data pipelines data quality risk analytics

πŸ“‹ Description

  • Assist with the development, maintenance, and improvement of SQL-based data pipelines and
  • Support data standardization and normalization initiatives, including address parsing and entity
  • Help develop and optimize data models, dashboards, reports, and other analytical outputs.
  • Conduct ad-hoc data analysis under the guidance of senior team members and communicate findings
  • Assist with monitoring data quality and implementing validation rules to improve the reliability
  • Support data preparation, transformation, and analysis across large-scale datasets.

🎯 Requirements

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics
  • Solid SQL skills, with familiarity with Hive SQL or Spark SQL considered an advantage.
  • Basic proficiency in at least one scripting or programming language, with Python preferred.
  • Strong interest in data analytics, risk management, fraud detection, data quality, or related
  • Analytical mindset with strong logical reasoning and attention to detail.
  • Good communication skills and the ability to explain analytical findings clearly.

🎁 Benefits

  • Hands-on experience working with real-world, large-scale datasets and data analytics projects.
  • Opportunity to develop practical SQL, Python, data modeling, data quality, and analytical skills.
  • Exposure to data standardization, normalization, risk analytics, and fraud-related use cases.
  • Mentorship and guidance from experienced data professionals.
  • Opportunity to collaborate with talented colleagues in a global and user-focused technology
  • Exposure to fast-paced projects and cross-functional data initiatives.
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