Data Analyst vacancy in Utena Lithuania

Data Analyst


We are seeking a highly skilled Data Analyst to join our growing team in Utena. As a Data Analyst, you will be responsible for collecting, organizing, and analyzing large sets of data to identify trends and patterns. You will also be responsible for creating reports and visualizations to communicate your findings to various stakeholders within the company.

Responsibilities:
- Collect and organize large sets of data from various sources
- Perform data cleaning, manipulation, and analysis
- Identify trends and patterns within the data
- Develop reports and visualizations to present findings
- Collaborate with other team members to identify areas for improvement and develop solutions
- Monitor data quality and address any issues that may arise
- Stay current with industry trends and developments in data analysis techniques
- Communicate insights and recommendations to various stakeholders in a clear and concise manner

Requirements:
- Bachelor's degree in Mathematics, Statistics, Computer Science or related field
- Proven experience as a Data Analyst or similar role
- Proficient in SQL, Excel, and other data analysis tools
- Excellent analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Strong problem-solving skills with the ability to think critically and creatively
- Knowledge of statistical methods such as regression analysis, clustering, time series forecasting etc.
- Good communication skills with the ability to present complex information in a clear manner
- Ability to work independently as well as collaboratively in a team environment

Preferred qualifications:
- Master's degree in Data Science or related field
- Experience working with big data platforms such as Hadoop or Spark
- Familiarity with programming languages such as Python or R

This is a full-time position that offers a competitive salary of 1300$ per month. We welcome applicants of all genders who possess the necessary skills and qualifications. Join our dynamic team and contribute to our success through your expertise in data analysis!