Data-mining vacancy in Sheduva Lithuania

Data Mining Analyst


We are seeking a talented and detail-oriented Data Mining Analyst to join our team in Sheduva. As a Data Mining Analyst, you will be responsible for collecting, organizing, and analyzing large datasets to identify patterns, trends, and insights that will be used to drive business decisions. This is a contract position open to Indians with no English language requirement, making it an ideal opportunity for non-native speakers. No prior experience is required as on-the-job training will be provided. Accommodation will also be provided for the duration of the contract.

Responsibilities:
- Collect and clean large datasets from various sources
- Use data mining tools and techniques to identify patterns and trends
- Analyze data to extract meaningful insights and make recommendations
- Create visualizations and reports to communicate findings to stakeholders
- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions
- Continuously monitor data quality and troubleshoot any issues that arise

Requirements:
- Bachelor's degree in Computer Science, Statistics, Mathematics or related field
- Strong knowledge of SQL, Excel, and statistical software (R, Python)
- Familiarity with data mining techniques such as clustering, regression analysis, decision trees
- Attention to detail and ability to work with large datasets
- Excellent problem-solving skills with the ability to think analytically
- Strong communication skills and ability to present complex information in a clear manner

Salary:
This is a contract position offering a salary of $1400 per month.

Location:
This job is based in Sheduva but remote work options may be available.

Preference:
Preference will be given to Indian candidates who do not have English language proficiency.

Accommodation:
Accommodation will be provided for the duration of the contract.

If you are passionate about data analysis and have a keen eye for identifying valuable insights from large datasets, we encourage you to apply for this exciting opportunity.