OMV Petrom is the largest energy company in South-Eastern Europe, being active on every aspect of the energy value chain: from wells, producing oil and gas, to refining and fuels distribution, gas supply and power generation & supply. We provide the energy for day-to-day modern life: fuels for mobility, light and heat. We believe that we can only evolve with a diverse mix of employees and by ensuring a healthy work-life balance.

At OMV Petrom, we have a long tradition of responsible behavior towards employees, the environment and society. Sustainability means a focus on conducting the business responsibly, efficiently and in an innovative way. We are committed to create long-term value for the company and our stakeholders, while respecting the environment and, supporting the communities in which we operate.

• Extract, transform, and load data from various company source systems (e.g., SAP, TM1).
• Model, implement, and develop reporting and data analysis solutions, including data visualizations and reusable data models.
• Produce and integrate data from multiple sources to proactively identify trends and opportunities for reporting process improvement.
• Meet with report beneficiaries to clarify and document reporting requirements.
• Monitor the reporting process to identify opportunities for automation.
• Provide reporting services such as manual data uploads and interventions to ensure accuracy and completeness of reporting.
• Collaborate with technical partners to review code structures and request feedback.
• Analyze and implement pilot programs and operational activities related to data analytics.
• Develop analytical context to achieve objectives agreed upon with the business.
• Raise alarms where data consistency presents significant risk.

• Education: University degree Bachelor (Computer science, data analytics, applied mathematics, statistics, engineering, economics, or similar fields. Academic qualifications or professional training courses in the technical area, focusing on Data Analytics and/or Big Data Analysis, Finance)
• Relevant professional experience: more than 7 years
• Advanced proficiency with BI Tools (e.g. Power BI, DAX,...) and data visualization best practices
• Strong Python skills for implementing business logic and analytical models
• Proficiency documentation solutions (e.g. GitHub)
• Experience with SQL, T-SQL, MDX, tabular models, and data modeling in enterprise environments
• Proficiency in BI applications (SAP Cloud Analytics, SAP BO, Microsoft BI, SSIS, SSAS, SSRS, IBM Planning & Analytics, OneStream)
• Advanced knowledge of MS Office, databases, and infrastructure applications (Windows SharePoint/Portal Services)
• Understanding of data engineering concepts, including ETL and pipeline integration
• Data modeling, database development, and data mining techniques
• Statistical modeling and hypothesis testing
• Knowledge of performance reporting frameworks (e.g., KPIs, financial metrics)

• Long weekend plans are always welcome - on Friday, our office hours end at 14:00.
• You can rely on a health insurance that covers medical treatment in a variety of private medical clinics.
• You can work from home, if the work activity allows.
• The number of your days off increase according to your work experience so that you'll enjoy more free time.
• We aim to make your vacation days happier, by paying each vacation day double.
• Are you a top performer? Your work can be rewarded each three months based on performance results.
• Additional days off and various financial support for different events like marriage, child birth, etc.
• Access to LinkedIn Learning and a variety of development programs.
• Do you prefer cars or bikes? We have free private parking.