Data Transformation Analyst I

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/897nfc

Job Description:
About the Team
OPIS, a Dow Jones company, provides price transparency across the global fuel supply chain, including the Spot, Wholesale Rack and Retail markets. OPIS enables customers to buy and sell energy commodities with confidence with multi-platform access to accurate data, real-time news, powerful software and educational events. Our commitment to reliability is reinforced by personalized customer service and constant innovation. OPIS listens to what the energy community needs and responds with flexible and easy-to-use products. Navigating world fuel markets is complex – OPIS makes it simpler.
About the Role
We are seeking a Data Transformation Analyst to ensure data accuracy and integrity by validating, processing, and researching data using various tools. In this role, you will support the data operations of the team, work with complex datasets, and help identify data defects. The position reports to the Data Transformation Manager.
You Will:
- Enter, process, and validate data electronically using operations such as queries, sorting, and filtering.




- Verify data accuracy through robust web research, leveraging AI, public information sources, and direct phone outreach when online data is unavailable.
- Identify data defects and consistently document reproducible issues to support the broader data transformation goals.

You Have:
- Minimum of 1 year of experience in data validation, research, or a similar field.
- Hands‑on experience working with large datasets and strong knowledge of tools such as Microsoft Excel, Google Sheets, Grafana, or similar platforms.
- Strong research skills, including the effective use of AI, online search tools, and other public information sources to identify reliable data.
- Strong attention to details.
- Fluency in English and Romanian is required; a third foreign language is preferred.
- Bachelor's degree or equivalent higher education.

Our Benefits
- Comprehensive Insurance Plans
- 24 Holiday days per year

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/897nfc