- Location
- Agia Paraskevi, Attica, Greece · published
- Type
- Full-time
- Department
- Engineering
- Source
- Workable
Description
InTTrust is a trusted Technology and Digital Solutions provider creating value for customers, encompassing IT Consulting and Implementation services, Database Operation, Administration and Optimization services, IT Managed Services, Cloud Governance & Security services. We are experts on Digital Transformation Solutions, Custom Applications Development & Application Modernization, IIoT and ML/AI solutions, Design and Implementation of Private/Public/Hybrid Cloud solutions together with Multi-Cloud Integration.
We are seeking to hire a talented Data Analyst (SQL, OAC, Machine Learning) to join our team and become part of our success story.
As a Data Analyst, you will be responsible for collecting, processing, and analyzing large volumes of data from multiple sources, developing interactive dashboards and reports, and applying Machine Learning techniques to support data-driven decision-making. You will collaborate with IT and Business teams to translate business requirements into technical solutions and deliver actionable insights. In more detail:
- Collecting, cleaning, processing, and analyzing large datasets from multiple sources using advanced SQL queries,
- Designing, developing, and maintaining interactive dashboards and reports using Oracle Analytics Cloud (OAC),
- Developing, configuring, and maintaining metadata and semantic models (RPD) to ensure accurate representation of business logic,
- Applying Machine Learning algorithms, including classification, regression, and clustering, to identify trends, categorize data, and optimize business processes,
- Identifying patterns, trends, and anomalies within datasets,
- Translating business requirements into analytical solutions in collaboration with IT and Business stakeholders,
- Presenting analytical findings and insights to stakeholders and management in a clear and understandable manner,
- Ensuring data accuracy, consistency, and reliability across reports and analytical models.