We are looking for a strong technical Data Analyst who can write clean, efficient code and navigate complex data structures. This role is at the intersection of analytics and development — you’ll not only build reports but also contribute to the creation of data infrastructure, automation of analytical processes, and processing of large data volumes.

Responsibilities:

• Develop analytical scripts and automate data processing (Python, SQL)

• Work with databases: write complex SQL queries and optimize performance

• Build ETL processes and support data pipelines

• Create analytical dashboards and prepare regular reports

• Integrate analytics into corporate systems (e.g., via APIs or embedded modules)

• Collaborate with backend and frontend development teams

Requirements:

• Strong programming skills in Python (especially: pandas, numpy, sqlalchemy, airflow is a plus)

• Excellent SQL knowledge (CTEs, window functions, query optimization)

• Experience building automated ETL processes

• Experience working with PostgreSQL / MS SQL / ClickHouse / BigQuery (any)

• Understanding of data warehouse and data lake architecture

• Ability to read and write technical documentation

Will be an adavantage:

• Knowledge of CI/CD, Git, Docker

• Experience with BI tools (Power BI, Tableau, Metabase, etc.)

• Understanding enterprise system development (ERP, CRM, etc.)

• A/B testing and statistical analysis skills

What we offer:

• Competitive salary

• Opportunities for professional development

• Corporate events and bonuses

• Possibility of remote work