Data Analyst Jobs in Attica | Information Technology / IT

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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

Data VisualizationVery Common

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

Power BIVery Common

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

SQLVery Common

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

PythonCommon

Proficiency in Python programming language for software development, automation, and data analysis.

ExcelCommon

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

Problem SolvingCommon

Ability to analyze issues and develop effective solutions.

Machine LearningCommon

Ability to develop algorithms and statistical models that enable computers to learn from and make predictions based on data.

CommunicationCommon

Ability to effectively convey information and ideas to others.

Data AnalysisCommon

Ability to examine, clean, transform, and model data to discover useful information and support decision-making.

Data ModelingCommon

The process of creating data structures to represent and organize data effectively in databases or information systems.

Additional Skills & Traits

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

ETL

Expertise in Extract, Transform, Load processes for data integration and processing.

FMCG Industry Experience

Experience working in the Fast-Moving Consumer Goods (FMCG) industry, involving quick production and turnover of consumer products.

SAS

Proficiency in SAS software for advanced statistical analysis and data management.

Finance

Understanding of managing money, investments, and financial planning.

Cloud Data Platforms

Experience with various cloud-based data platforms including Databricks, Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake, AWS S3, and Google Cloud Platform for data storage and processing.

Statistical Analysis

Ability to collect, analyze, and interpret data using statistical methods.

Pharmaceutical Industry Experience

Knowledge and experience working within the pharmaceutical industry, including regulations, production, and quality standards.

Insurance Sector Knowledge

Understanding of the insurance industry operations, products, and regulations.

Gaming Industry Knowledge

Understanding of the business aspects related to lottery, gaming, betting, and casinos.

Teamwork

Ability to collaborate effectively with others to achieve common goals.

Analytical Thinking

Ability to systematically break down problems and analyze information to make informed decisions.

Attention to Detail

Thoroughness in completing tasks with accuracy and precision.

Adaptability

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

Results Orientation

Focus on achieving goals efficiently and prioritizing outcomes.

Willingness to Learn

Enthusiasm and openness to acquiring new knowledge and skills.

Independence

Ability to complete tasks and make decisions without relying on constant supervision.

Analytical Skills

Ability to assess information and situations logically to make informed decisions.

Educational Background

Recommended education and qualifications for Data Analyst positions

Computer Science

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

Statistics

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

Engineering

Study of applying scientific principles to design, build, and maintain structures and machines.

Mathematics

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

Data Analytics

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

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.

Information Technology

Study of computer systems, networks, and information management technologies.

Business Analytics

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

Management Science and Technology

Study of applying scientific methods and technological tools to optimize organizational management and decision-making.

Seniority Distribution

Entry38%
Experienced63%

Experience Requirements

Average experience: 3 years
0-2 years25%
3-5 years75%