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14 часов назад

Senior Data Analyst (Cybersecurity)

Формат работы
remote (только Ukraine)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ukraine
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Analyst (Cybersecurity): Analyzing production telemetry and network flow logs to drive strategic decisions in network security and micro-segmentation with an accent on data quality, BI reporting, and AI/ML platform intelligence. Focus on building complex ETL pipelines, designing high-impact dashboards, and implementing data governance for large-scale cybersecurity data.

Location: Must be based in Ukraine (UA-Remote; choice between remote or office)

Company

A custom product engineering company that supports both multinational organizations and scaling startups to solve complex business challenges.

What you will do

  • Define key metrics and design BI dashboards using Grafana, Looker, Tableau, or Power BI to monitor ingestion health and policy effectiveness.
  • Analyze large-scale flow logs and policy-violation records to uncover trends, anomalies, and segmentation gaps.
  • Build and maintain ETL pipelines orchestrated by Airflow using Spark (PySpark/Scala) and Python.
  • Define and enforce data-quality rules, schema validation, and maintain a comprehensive data catalog with lineage tracking.
  • Translate complex technical data analyses into actionable business insights for both technical and non-technical stakeholders.

Requirements

  • 5+ years of experience in data analysis or BI, ideally within network security, cloud operations, or a SOC environment.
  • Must be based in Ukraine.
  • Expert proficiency with SQL, including complex joins, window functions, CTEs, and performance tuning.
  • Deep experience with Spark (PySpark/Scala) and Python data libraries (pandas, NumPy).
  • Hands-on experience with ETL tools (Airflow, Bash) and data visualization platforms.
  • Exceptional English communication skills.

Nice to have

  • Bachelor’s degree in Data Science, Statistics, or Mathematics.
  • Understanding of data lake/lakehouse concepts and performant storage formats (Parquet, Delta).
  • Familiarity with data governance platforms like Apache Atlas or DataHub.
  • Experience with Git for schema and version control.

Culture & Benefits

  • Radical flexibility with the choice to work remotely or from an office.
  • Comprehensive growth opportunities including Udemy access, internal meetups, and company-paid certifications.
  • Company-paid medical insurance, mental health support, and financial/legal consultations.
  • Open-door environment with a global impact through large-scale projects.

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