Вакансия Senior Data Analyst

Skills

• SQL
• BigQuery
• ETL
• AirFlow
• Bash
• Python
• Tableau
• Microsoft Power BI
• Looker
• Grafana
• Apache Atlas
• DataHub
• Git

Описание вакансии

Ciklum is looking for a Senior Data Analyst to join our team full-time in Ukraine.

About the role:

As a Senior Data Analyst, become a part of a cross-functional development team engineering experiences of tomorrow. With almost 100 million active users across 25 countries, they’re a global food tech company.
As a recently formed team, they have many opportunities and ideas for sharing value back to the customers within their continuously expanding platform. They're looking for talented and trusted engineers to help them impress their customers.

Responsibilities

• Optimize BigQuery performance, identify and resolve inefficient queries, and implement best practices for data processing at scale
• Analyze SQL code for antipatterns and perform refactoring to improve query execution, cost efficiency, and maintainability
• Develop and implement strategies for BigQuery storage optimization, including data partitioning, clustering, and archiving
• Collaborate extensively with various data teams to understand their pipelines, identify optimization opportunities, and provide guidance on efficient BigQuery usage
• Provide mentorship and support to data engineers, fostering a culture of continuous improvement in data pipeline efficiency and quality
• Develop and maintain documentation for BigQuery optimization techniques, best practices, and standard operating procedures
• Participate in code reviews, ensuring adherence to BigQuery optimization principles and high-quality SQL code standards
• Design, build, and maintain optimisation-related BI dashboards

Requirements

• 5+ years in data analysis or BI – ideally within network security, cloud operations, or a SOC environment
• Strong proficiency with SQL (BigQuery dialect), including complex joins, window functions, CTEs, and performance tuning
• Comfortable building and maintaining ETL pipelines (Airflow, Bash, Python)
• Hands-on with data visualization tools (Tableau, Power BI, Looker, Grafana)
• Good understanding of data lake and lakehouse concepts, partitioning and clustering
• Familiarity with data catalog/governance platforms (Apache Atlas, DataHub) and Git for schema/version control
• Skilled in data profiling, cleansing, and enrichment techniques to ensure high-quality inputs
• Strong problem-solving mindset, attention to detail
• Good communication skills – able to translate complex data into actionable business insights in English