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InTTrust S.A. is an IT consulting and technology company that helps enterprises tackle complex technology challenges. Founded in 2006, it delivers consulting, application development, digital transformation, and cloud services, drawing on expertise in modern workplace applications, IoT, artificial intelligence, and analytics. Its team of more than 140 engineers has delivered complex IT projects across sectors, working with leading technology vendors. The company’s work spans both strategic technology advice and the implementation of enterprise solutions.
Data Analyst, SQL and Oracle Analytics Cloud
InTTrust is hiring a Data Analyst in Greece to work with SQL, Oracle Analytics Cloud, and machine learning. The role focuses on dashboards, semantic models, and turning data into practical business insights.
Apraksts
- Analyze large datasets from multiple sources with advanced SQL, including data collection, cleaning, and processing.
- Build and maintain interactive dashboards and reports in Oracle Analytics Cloud (OAC).
- Create and maintain RPD metadata and semantic models that accurately reflect business logic.
- Use classification, regression, and clustering to uncover trends and improve business processes.
- Find patterns, trends, and anomalies in data.
- Work with IT and business stakeholders to turn requirements into analytical solutions.
- Explain findings and insights clearly to stakeholders and management.
- Maintain the accuracy, consistency, and reliability of reports and analytical models.
Prasības
- Hold a bachelor's degree in computer science, statistics, mathematics, data science, or a related discipline.
- Write complex SQL queries using joins, subqueries, and window functions, and optimize query performance.
- Have hands-on experience building reports and dashboards with Oracle Analytics Cloud (OAC).
- Develop and maintain RPD metadata across the Physical, Business Model and Mapping (BMM), and Presentation layers.
- Understand machine learning algorithms and how they are applied in practice.
- Use Python or R for data analysis.
- Be familiar with Python libraries such as pandas and scikit-learn.
- Bring strong analytical and problem-solving skills, with careful attention to detail.
- Communicate and collaborate effectively.
- Be fluent in written and spoken English.
- Have experience with cloud database platforms such as Oracle Autonomous Database, Snowflake, or Google BigQuery.
- Understand ETL/ELT processes and tools.
- Have worked with large datasets and complex data environments.
- Know data visualization practices and KPI reporting.
- Demonstrate professionalism, integrity, and a strong sense of responsibility.
- Turn complex data into clear, actionable business insights.
- Learn and adapt readily, and organize tasks efficiently.
- Take care over data quality and accuracy.
- Be committed to delivering high-quality work.
Priekšrocības
- Attractive salary package.
- Health insurance coverage.
- Meal vouchers or meal subsidies.
- Training and professional development opportunities.
- Company laptop.
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