Business Intelligence Engineer Jobs in Greece | Information Technology / IT

10+ open positions from 8 companies

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About Business Intelligence Engineer Jobs

A Business Intelligence Engineer develops and optimizes data solutions to support strategic decision-making. They design data pipelines, build BI models, and create dashboards for effective reporting, often working with tools like SAP BW and SAC. This role is essential in industries aiming to leverage data insights for business growth and operational efficiency.

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Required Skills

Essential skills needed for Business Intelligence Engineer positions

SQLVery Common

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

Power BIVery Common

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

Data ModelingVery Common

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

Microsoft OfficeCommon

Proficiency in Microsoft Office suite including Word, Excel, PowerPoint, and Outlook for office productivity.

Data AnalysisCommon

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

Business IntelligenceCommon

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

Data VisualizationCommon

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

Relational DatabasesCommon

Knowledge of structured databases that store data in tables with relationships between them.

PythonCommon

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

TableauCommon

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

Additional Skills & Traits

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

Data Science

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

SAP BI

Expertise in SAP Business Intelligence tools for data analysis and reporting.

DevOps

Knowledge and application of DevOps methodologies to integrate software development and IT operations for faster delivery.

Databricks

Experience with Databricks, an analytics platform for big data and AI built on Apache Spark.

Financial Sector Experience

Experience working in the banking, investment, or other financial services industries.

Project Management

Ability to plan, organize, and manage resources to achieve project goals and meet deadlines.

Communication

Ability to convey information clearly and effectively in verbal and written form.

Teamwork

Ability to collaborate effectively with others to achieve common goals.

Problem Solving

Ability to identify issues and develop effective solutions efficiently.

Adaptability

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

Analytical Thinking

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

Continuous Learning

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

Stakeholder Management

Ability to effectively identify, communicate with, and manage relationships with all parties involved in a project or organization.

Critical Thinking

Ability to analyze facts and form a judgment through thoughtful evaluation.

Attention to Detail

Thoroughness in completing tasks with accuracy and precision.

Leadership

Ability to guide and motivate a group towards achieving goals effectively.

Educational Background

Recommended education and qualifications for Business Intelligence Engineer positions

Computer Science

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

Any Field

No specific academic field required; open to all educational backgrounds.

Mathematics

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

Engineering

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

Statistics

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

Management

Study of organizational leadership, decision-making, and resource management in businesses and institutions.

Business Administration

Study of managing business operations, organizational behavior, and strategic decision-making.

Physics

Study of matter, energy, and the fundamental forces of nature.

Data Science

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

Related Technical Field

Study related to technical disciplines relevant to the specific industry or job role.

Seniority Distribution

Entry11%
Experienced89%

Experience Requirements

Average experience: 2.5 years
0-2 years43%
3-5 years57%