Data Analyst, SQL, OAC, Machine Learning

InTTrust S.A.

. Collect, clean, process, and analyze large datasets from multiple sources using advanced SQL queries .

Posted 10/10/2026full-timeAgia Paraskevi • GreeceMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in data analysis and visualization, with expertise in SQL, Oracle Analytics Cloud, and Machine Learning algorithms. Strong ability to translate business requirements into actionable insights while ensuring data accuracy and quality.

Highest-signal resume keywords

Advanced SQL Query WritingOracle Analytics Cloud (OAC)Machine Learning AlgorithmsRPD Metadata Model DevelopmentData Visualization Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLMachine LearningPythonRData AnalysisData CleaningData ProcessingDashboard DevelopmentETL/ELT ProcessesData Quality Assurance

Soft Skills

Analytical ThinkingProblem-SolvingAttention to DetailCommunicationCollaboration

Tools & Technologies

Oracle Analytics CloudOracle Autonomous DatabaseSnowflakeGoogle BigQueryPandasScikit-learn

Industry Keywords

Data ScienceStatisticsBusiness IntelligenceKPI ReportingData Visualization

Tech Stack

Tools & technologies

BigQueryCloudETLOraclePandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Collect, clean, process, and analyze large datasets from multiple sources using advanced SQL queries
Design, develop, and maintain interactive dashboards and reports using Oracle Analytics Cloud (OAC)
Develop, configure, and maintain metadata and semantic models (RPD) to ensure accurate representation of business logic
Apply Machine Learning algorithms, including classification, regression, and clustering, to identify trends, categorize data, and optimize business processes
Identify patterns, trends, and anomalies within datasets
Translate business requirements into analytical solutions in collaboration with IT and Business stakeholders
Present analytical findings and insights to stakeholders and management in a clear and understandable manner
Ensure data accuracy, consistency, and reliability across reports and analytical models

Requirements

What you’ll need

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field
Strong experience writing complex SQL queries, including joins, subqueries, window functions, and query optimization
Hands-on experience developing reports and dashboards using Oracle Analytics Cloud (OAC)
Experience developing and maintaining RPD metadata models, including Physical, Business Model and Mapping (BMM), and Presentation layers
Good understanding of Machine Learning algorithms and their practical applications
Experience with programming languages for data analysis, such as Python or R
Familiarity with Python libraries such as pandas and scikit-learn
Strong analytical thinking, problem-solving skills, and attention to detail
Excellent communication and collaboration skills
Fluency in English, both written and spoken
Experience with cloud database platforms such as Oracle Autonomous Database, Snowflake, or Google BigQuery
Knowledge of ETL/ELT processes and tools
Experience working with large datasets and complex data environments
Familiarity with data visualization best practices and KPI reporting
Demonstrated professionalism, integrity, and a strong sense of responsibility
Ability to translate complex data into clear, actionable business insights
Capacity to learn, adapt, and organize tasks efficiently
Attention to detail and commitment to data quality
Focus on delivering high-quality results

Benefits

Comp & perks

Attractive salary package
Health Insurance Coverage
Meal Vouchers - Meal Subsidies
Training and Professional Development Opportunities
Company Laptop