3 months ago
Athens, GreeceEntry Level
Responsibilities
- Design and implement data models for business analytics and reporting.
- Develop and maintain cloud data pipelines for ingesting, cleaning, transforming, and storing data.
- Build interactive Power BI dashboards and reports that provide actionable insights.
- Collaborate with data engineers, business stakeholders, and business units to deliver scalable and self-service analytics solutions.
- Apply data quality and governance practices throughout the data lifecycle.
- Use SQL, Python, and Azure data technologies for data processing and transformation.
- Continuously improve analytics tools, processes, and best practices.
Requirements
- At least 2 years of experience in data analytics or a similar role.
- Experience with data modeling and database design for reporting and analytics.
- Experience designing user-friendly dashboards with Power BI.
- Strong knowledge of SQL and Python for data processing, analysis, and transformation.
- Hands-on experience with cloud data platforms, preferably Azure.
- Experience working in agile development environments and collaborating with teams.
- Bachelor’s degree in Computer Science, STEM, or a related field.
- Preferred: experience with Git and development and production environments.
- Preferred: familiarity with data governance practices and exposure to data science concepts for analytics.
- Data Analytics, Data Science, or Data Engineering certifications, bootcamps, or a master’s degree are additional preferred qualifications.
About ITT Inc.
ITT Inc. designs and manufactures engineered components and technology for transportation, industrial, energy, and aerospace/defense customers. Its portfolio spans pumps and valves (Goulds Pumps), brake pads and shock absorbers (KONI), and harsh-environment connectors and motion-control components (ITT Cannon, Enidine), sold via product and aftermarket services. The NYSE-listed public company is headquartered in Stamford, Connecticut, and operates globally across these end markets.
