Data Analyst Jobs in Heraklion | Information Technology / IT

2 open positions from 1 companies

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About Data Analyst Jobs

A Data Analyst collects, processes, and interprets large datasets to help organizations make informed business decisions. They use analytical tools and statistical techniques to identify trends, patterns, and insights that drive strategic planning. This role is essential, offering opportunities to work with cutting-edge technologies and contribute to data-driven innovation.

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Required Skills

Essential skills needed for Data Analyst positions

EnglishEssential

Ability to read, write, speak, and understand the English language effectively.

TechnologyEssential

Understanding and familiarity with technological tools, systems, and concepts.

Business IntelligenceEssential

The ability to collect, analyze, and present business data to support decision-making.

Data ScienceEssential

The discipline of extracting insights and knowledge from structured and unstructured data using scientific methods and algorithms.

Digital AnalyticsEssential

The practice of collecting, analyzing, and interpreting digital data to optimize online performance.

Data EngineeringEssential

The discipline of designing and building systems for collecting, storing, and analyzing data efficiently.

Big DataEssential

Expertise in processing and analyzing large volumes of complex and diverse data sets.

Mathematics and StatisticsEssential

Knowledge and application of mathematical concepts and statistical methods for data analysis and problem solving.

Greek Language ProficiencyEssential

Ability to understand, speak, read, and write in the Greek language effectively.

Customer AnalyticsEssential

Expertise in analyzing customer data to drive segmentation, churn prediction, recommendations, and real-time insights.

Additional Skills & Traits

Nice-to-have skills and soft skills that can help you stand out

Teamwork

Ability to collaborate effectively with others to achieve common goals.

Adaptability

Ability to adjust effectively to new conditions and changes in the work environment.

Flexibility

Ability to adapt quickly and efficiently to changing circumstances and demands.

Innovation

Ability to generate and implement new ideas, approaches, or solutions to improve processes or products.

Curiosity

Desire to learn and explore new ideas, concepts, and experiences.

Accountability

Taking responsibility for one's actions and their outcomes in a reliable manner.

Learning Agility

Ability to quickly understand and apply new information and skills.

Educational Background

Recommended education and qualifications for Data Analyst positions

Data Science

Study of methods to analyze, interpret, and extract knowledge from data using statistical and computational techniques.

Mathematics and Statistics

Study of mathematical theories, statistical methods, and their applications in science and industry.

Business Analytics

Study of data analysis techniques and tools to support business decision-making and strategy.

Data Engineering

Study of designing, building, and managing data systems and infrastructure for analysis and processing.

Seniority Distribution

Entry100%

Experience Requirements

Average experience: 0 years
0-2 years100%