Data-analytics vacancy in Kaunas Lithuania

Data Analytics Assistant
Location: Kaunas, Lithuania


The Data Analytics Assistant will be responsible for supporting the data analytics team in collecting, organizing, and analyzing large sets of data to extract meaningful insights. The ideal candidate should have strong analytical skills, attention to detail, and a willingness to learn and grow in the field of data analytics. This role does not require any previous experience and is open to Indian nationals who are proficient in English.

Responsibilities:
- Collect and organize large sets of data from various sources
- Assist in creating and maintaining databases
- Clean and validate data to ensure accuracy
- Perform statistical analysis on data sets using tools such as Excel or Python
- Identify patterns and trends in data to provide insights for decision making
- Prepare reports and visualizations to present findings to stakeholders
- Collaborate with team members on projects and contribute ideas for improvement

Requirements:
- Bachelor's degree in a related field (e.g., Mathematics, Statistics, Computer Science)
- Proficiency in Microsoft Excel or other similar software for data manipulation and analysis
- Familiarity with programming languages such as Python or SQL is a plus
- Strong analytical skills with the ability to interpret complex data sets
- Attention to detail and ability to spot errors or inconsistencies in data
- Excellent communication skills, both written and verbal, in English
- Ability to work independently as well as collaboratively in a team environment

Benefits:
This position offers a competitive salary of 1300$ per month and visa sponsorship for Indian nationals. Accommodation is not provided but assistance will be given in finding suitable accommodation. This role is suitable for men who are looking for an entry-level position in the field of data analytics.

Join our growing team at our company located in Kaunas! This is an exciting opportunity for individuals looking to kickstart their career in the field of data analytics. Apply now!