Data Analyst Jobs in Greece | Marketing

4 open positions from 2 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

ExcelEssential

Proficiency in Microsoft Excel spreadsheet software for data analysis and reporting.

SQLEssential

Proficiency in Structured Query Language for managing and querying relational databases.

Power BIEssential

Proficiency in Microsoft Power BI for business analytics and data visualization.

CommunicationEssential

Ability to effectively convey information and ideas to others.

Business IntelligenceCommon

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

PrioritizationCommon

Ability to organize tasks or projects in order of importance or urgency to optimize workflow.

Data VisualizationCommon

Ability to represent data visually using charts, graphs, and dashboards to facilitate understanding.

Data IntegrationCommon

Techniques for combining data from different sources to provide a unified view.

TableauCommon

Proficiency in Tableau software for data visualization and business intelligence reporting.

Analytical SkillsCommon

Ability to analyze information and solve problems effectively through critical thinking.

Additional Skills & Traits

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

Telecommunications

Understanding of telecommunications systems, technologies, and networks for communication purposes.

Consumer and Market Research

The ability to collect and analyze data about consumers and market trends to inform business decisions.

Banking

Experience working in the banking industry including knowledge of financial services and regulations.

Cross-Functional Collaboration

Ability to work effectively across different departments or functions to achieve shared goals.

Attention to Detail

Thoroughness in completing tasks with accuracy and precision.

Proactiveness

Ability to take initiative and act independently to anticipate and solve problems.

Continuous Learning

Commitment to constantly acquiring new knowledge and skills to improve oneself.

Curiosity

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

Motivation

The internal drive to achieve goals and maintain enthusiasm at work.

Or explore related opportunities

Educational Background

Recommended education and qualifications for Data Analyst positions

Mathematics

Study of numbers, quantities, shapes, and their relationships through abstract reasoning and logical deduction.

Statistics

Study of data collection, analysis, interpretation, and presentation to make informed decisions.

Data Analytics

Study of methods and tools to analyze data for decision making and insights.

Business Analytics

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

Marketing

Study of market research, consumer behavior, and promotional strategies.

Finance

Study of managing money, investments, and financial systems.

Computer Science

Study of computational systems, programming, algorithms, and software development.

Economics

Study of production, distribution, and consumption of goods and services and the analysis of economic systems.

Data Science

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

Seniority Distribution

Experienced100%

Experience Requirements

Average experience: 3 years
3-5 years100%