Data-mining vacancy in Kaunas Lithuania

Data Mining Analyst

The Data Mining Analyst will be responsible for analyzing large sets of data and extracting meaningful insights to support business decisions. They will work closely with the data mining team to understand project requirements and develop effective data mining strategies. The ideal candidate will have strong analytical skills, attention to detail, and the ability to work independently. This position offers a competitive salary of 1500$ per month and visa sponsorship for international candidates.

Responsibilities:
- Conducting exploratory data analysis to identify patterns and trends.
- Using statistical techniques to analyze large datasets.
- Developing data mining models and algorithms.
- Collaborating with cross-functional teams to understand project requirements.
- Cleaning and preparing data for analysis.
- Presenting findings in a clear and concise manner.
- Staying updated on industry trends and advancements in data mining.

Requirements:
- Bachelor's degree in Computer Science, Statistics, or a related field.
- Proven experience in data mining or related field.
- Proficient in SQL, Python, R or other programming languages used in data mining.
- Familiarity with statistical analysis tools such as SPSS or SAS.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate large datasets.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently as well as collaboratively in a team environment.
- Knowledge of machine learning techniques is a plus.

Location: This position is based in Kaunas, Lithuania but we are open to considering remote candidates from other countries.

Salary: We offer a competitive salary of 1500$ per month for this position.

Visa Sponsorship: We provide visa sponsorship for international candidates who meet our job requirements.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status.

If you are passionate about data mining and have the skills and experience required for this role, we encourage you to apply. Join our dynamic team and contribute to our growth and success.