Data Analyst

Requirements

Your position will include:

• Analyze large datasets to extract actionable insights;
  
• Clean and preprocess data to ensure accuracy and consistency;
  
• Built data models for further visualization and analysis;
  
• Develop data transformation pipelines for analytical purposes;
  
• Develop and maintain data visualizations and dashboards;
  
• Collaborate with stakeholders to understand analytical requirements;
  
• Identify trends, patterns, and insights that drive business decisions;
  
• Analyze and test product features to evaluate performance and impact;
  
• Communicate findings effectively to non-technical stakeholders;
  
• Conduct ad-hoc analysis to support business decision-making;
  
• Ensure data quality and integrity throughout the analytical process;
  
• Collaborate with team to build effective analytical infrastructure;
  
• Explore and implement new data analysis tools and techniques;
  
• Manage data documentation and metadata.
  

The expertise we’re looking for:

• 2-3 years of experience working as a Data Analyst;
  
• Strong analytical skills and problem-solving abilities;
  
• Advanced SQL skills for analytical data modeling;
  
• Proficiency in Python (pandas, numpy, other data manipulation libraries);
  
• Data visualization skills and experience with BI platforms (Tableau, Power BI, etc.);
  
• Understanding of data modeling, ETL/ELT, and analytics engineering concepts;
  
• Open-mindedness and willingness to explore new technologies and approaches;
  
• Capacity to learn and apply new concepts swiftly and effectively;
  
• Strong communication skills and ability to translate technical findings to non-technical stakeholders.
  

Will be a plus:

• Experience with web events data tracking tools;
  
• Experience with data transformation tools such as dbt, SQLMash, etc.;
  
• Experience with ETL tools and processes such as Airflow, Kafka, etc.;
  
• Experience with modern Data Warehouse solutions (ClickHouse, BigQuery, etc.);
  
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
  

Benefits

What we offer:

• Working hours from 10:00 to 18:00 (Mon-Fri).
  
• Interesting work in successful projects.
  
• Timely payment of salaries, official employment, 24 days of vacation, and fun corporate events.
  
• A friendly team and a pleasant atmosphere without pressure, stress and other negative things.
  

We are waiting for you on our team!