Data-mining vacancy in Utena Lithuania

Data Mining Analyst


The Data Mining Analyst will be responsible for analyzing large sets of data in order to identify patterns, trends, and insights that can be used to improve business decision-making. This position requires strong analytical skills, attention to detail, and the ability to work with complex data sets.

Responsibilities:
- Use data mining techniques to extract and analyze data from various sources
- Identify patterns and trends in the data to inform business decisions
- Create reports and visualizations to communicate findings to stakeholders
- Work with cross-functional teams to identify data needs and gather necessary information
- Develop and maintain databases for storing and organizing large amounts of data
- Continuously monitor data quality and make recommendations for improvement
- Stay up-to-date on industry best practices and new developments in data mining

Requirements:
- Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
- Proven experience with data mining tools and techniques
- Strong analytical skills with the ability to work with large datasets
- Proficient in SQL and other programming languages (Python, R)
- Experience with database management systems (SQL Server, Oracle)
- Excellent communication skills with the ability to present complex information in a clear manner
- Attention to detail and strong problem-solving abilities

Working Conditions:
This is a full-time position based in Utena. The salary for this role is 1800$, with opportunities for growth within the company. The company offers free visa sponsorship and relocation assistance for international candidates. This job is suitable for individuals who are passionate about working with large amounts of data, have strong analytical skills, and are looking for a challenging career opportunity.

Note: This job opportunity is open to Indian nationals but is not limited exclusively to them. All qualified candidates are encouraged to apply. English proficiency is preferred but not required.