Data Analyst

Responsibilities:


Detect, examine, and decode trends or patterns within complex datasets
Ensuring the accuracy, consistency, and reliability of data across various sources
Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data
Develop data reports, dashboards, charts, and visual aids to support decision-making across departments
Translating business questions into analytical tasks and delivering actionable insights
Designing, developing and integrating self-service and analytical BI interfaces
Monitoring the usage and performance of self-service BI tools
Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes


Requirements:


Bachelor's degree in relevant sphere
2+ years of experience in Data Analytics sphere
Advanced skills in BI tools for creating dashboards, reports, and data visualizations (Power BI/Tableau/Grafana).
Proficient knowledge in SQL/Python
Advanced proficiency in Microsoft Excel, including expertise in complex formulas, pivot tables, dynamic dashboards and data analysis
Excellent communication and presentation skills.
Understanding of data structures, data cleansing, data validation, data manipulation and software architecture
Exceptional critical thinking, analytical abilities, and problem-solving skills
Good command of English


Preferred Skills:


Experience with React.js and modern frontend frameworks
Knowledge of Agentic AI systems and LLM-based applications
Familiarity with AI agent frameworks (e.g., LangChain, N8N, etc.)
Familiarity with Agile or Scrum methodologies.


We offer:


5/2, 09.00-18.00;
Meal allowance;
Annual performance bonuses;
Corporate health program: VIP voluntary insurance and special discounts for gyms;
Access to Digital Learning Platforms.


Interested candidates can apply by clicking the link provided in the "Apply" button.