Data-analytics vacancy in Kaunas Lithuania

900 $
2025-05-05
Agency Workato
Workato

Agency

on layboard since 17.01.2021

56
Contact person: Thomas
Phone number: -
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Contact person: Thomas
Phone number: -
Data Analyst

As a data analyst, you will be responsible for collecting, organizing, and analyzing large sets of data to identify patterns and trends. You will work closely with the team to develop strategies and solutions to improve business processes and decision making based on data insights. Your role will involve using various software tools and programming languages to extract, clean, and analyze data from different sources. Strong attention to detail, problem-solving skills, and the ability to communicate complex findings in a clear manner are essential for this position. This is a full-time position based in Kaunas, with a salary of $900 per month.

Requirements:
- Bachelor's degree in statistics, mathematics, economics or a related field
- Minimum 2 years of experience in data analysis
- Proficient in SQL and programming languages such as Python or R
- Experience working with data visualization tools such as Tableau or PowerBI
- Strong analytical skills with the ability to manipulate and interpret complex data sets
- Excellent communication skills with the ability to present findings in a clear and concise manner
- Ability to work independently as well as collaboratively in a team environment
- Indian nationality preferred but not required
- Fluent in English

Responsibilities:
- Collecting, organizing, and analyzing large sets of data from various sources
- Developing strategies and solutions based on data insights to improve business processes
- Creating reports and presentations to communicate findings to stakeholders
- Collaborating with cross-functional teams to understand business needs and provide data-driven recommendations
- Identifying trends, patterns, and outliers in the data set using statistical methods
- Using programming languages and software tools to clean, transform, and visualize data effectively
- Staying up-to-date with industry trends and best practices for data analysis
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views: 329

valid through: 2025-06-04

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