Business Intelligence Engineer Jobs in Attica | Information Technology / IT

10+ open positions from 6 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.

Data ModelingVery Common

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

Power BIVery Common

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

Business IntelligenceCommon

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

Data AnalysisCommon

Ability to examine, clean, transform, and model data to discover useful information and 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.

Microsoft OfficeCommon

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

PythonCommon

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

ETLCommon

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

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.

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.

SAP BPC

Experience with SAP Business Planning and Consolidation software for financial planning, budgeting, and consolidation.

Analytics

The ability to systematically analyze data to extract meaningful insights and support decision-making.

SAP Analytics Cloud

Expertise in SAP Analytics Cloud, a software for business intelligence, planning, and predictive analytics.

Business Analytics

The practice of iterative, methodical exploration of an organization's data with an emphasis on statistical analysis to drive business decisions.

Communication

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

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.

Continuous Learning

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

Critical Thinking

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

Adaptability

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

Problem Solving

Ability to identify issues and develop effective solutions efficiently.

Curiosity

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

Stakeholder Management

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

Attention to Detail

Thoroughness in completing tasks with accuracy and precision.

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.

Data Science

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

Business Administration

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

Physics

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

Technology-related Fields

Academic disciplines focusing on the application and development of technological systems and innovations.

Seniority Distribution

Entry17%
Experienced83%

Experience Requirements

Average experience: 2.5 years
0-2 years40%
3-5 years60%