Data Analyst vacancy in St-Petersburg Russia

Data Analyst

As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting complex data sets to provide valuable insights and recommendations. Your main goal will be to help our company make data-driven decisions by identifying patterns and trends from various sources. You will work closely with our team to identify business needs and develop strategies to improve processes and optimize performance. This position requires strong analytical skills, attention to detail, and the ability to communicate findings in a clear and concise manner. This is an excellent opportunity for individuals with a passion for data analysis and a desire to make a significant impact in the company's success.

Key Responsibilities:
- Collect, organize, and analyze large datasets from various sources
- Identify patterns, trends, and correlations in the data
- Develop reports, dashboards, and visualizations to effectively present findings
- Collaborate with team members to understand business needs and requirements
- Use statistical methods to interpret data and provide actionable insights
- Conduct quality assurance checks on data sets to ensure accuracy
- Continuously monitor performance metrics and identify areas for improvement
- Stay up-to-date with industry trends and best practices in data analysis

Requirements:
- Bachelor's degree in Mathematics, Statistics, Computer Science or related field
- Proven experience as a Data Analyst or similar role
- Proficiency in SQL, Excel, statistical software (e.g. R or Python)
- Experience with data visualization tools (e.g. Tableau)
- Strong analytical skills with the ability to collect, organize, analyze large datasets
- Excellent communication skills with the ability to present complex information in a clear manner
- Attention to detail and problem-solving abilities
- Knowledge of database structures and data mining techniques

Salary: 1500$
Location: St-Petersburg (accommodation provided)
Preferred Nationality: Indian or Kenyan (English proficiency preferred)
Suitable for students with a passion for data analysis and problem-solving.