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6 дней назад

ML Data Analyst (SQL)

1 550 - 1 850
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Bulgaria
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

ML Data Analyst (SQL): Ensuring data quality and operational excellence for consumer intelligence platforms with an accent on SQL-based data manipulation, regex maintenance, and ML model performance monitoring. Focus on resolving complex data classification issues, optimizing data pipelines, and maintaining high standards of accuracy for global client deliveries.

Location: Must be based in Sofia, Bulgaria (Hybrid: 3 days remote, 2 days office).

Salary: €1,550 – €1,850 monthly.

Company

hirify.global is the world’s leading consumer intelligence company, providing a complete understanding of consumer buying behavior through advanced analytics and state-of-the-art platforms.

What you will do

  • Monitor and investigate data quality issues, implementing fixes using SQL and Regex.
  • Perform ML model retraining and analyze performance metrics to drive enhancements.
  • Manage weekly quality check processes to ensure accurate and timely data deliveries.
  • Resolve complex data classification and branding issues.
  • Collaborate with internal teams and provide proactive status updates to management.
  • Contribute to operational process improvements and maintain best practices.

Requirements

  • 2-3+ years of professional experience in data operations, data quality, or business analysis.
  • Strong proficiency in SQL for data extraction and manipulation.
  • Practical experience writing and maintaining Regex.
  • Understanding of data pipelines and the impact of data quality on ML models.
  • English: C1 level required.
  • Degree in business analytics, data science, statistics, or equivalent experience.

Culture & Benefits

  • Hybrid working model with flexible hours.
  • Additional medical insurance including outpatient and inpatient care.
  • Life insurance and food vouchers.
  • Access to LinkedIn Learning platform.
  • Additional 3 days of paid leave.
  • Office amenities including bike parking and proximity to public transport.

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