Business Analytics & Digital Transformation Manager

We are currently looking for a team-oriented and proactive Business Analytics & Digital Transformation Manager for Bucharest, within KMG Rompetrol. 

Rompetrol, part of KMG International, is the place where thousands of minds and over 200 specializations spread throughout 11 countries [AK1.1]are connecting to each other to create the energy we all need to get further. We believe that through trial and perseverance, true ambition is inspired, and success achieved. With this reasoning, we intend to welcome you to our Rompetrol family and help you reach your full potential.

So, are you ready to fuel your career, in a diverse and fulfilling environment?

Your new role: Lead business analytics and digital transformation across Rompetrol's refinery, retail and logistics operations, taking end-to-end ownership of operational analytics, KPI frameworks, reporting solutions and their development on the analytical platform. Work closely with operational teams, engineers and management to translate business requirements into reliable reports, digital tools and actionable insights, ensuring accurate business rules, engineering calculations and consistent data. Drive hands-on development, data integration, reporting automation and implementation of practical digital solutions that improve operational efficiency and business decision-making. Ensure the reliability, scalability and sustainability of analytical solutions through robust validation, testing, documentation and continuous improvement, while maintaining accountability for delivery, user adoption and measurable business value.

Activities going to help you shine:
•    Own and drive the development of operational analytics and reporting solutions across Rompetrol's refinery, retail and logistics operations, ensuring alignment with business requirements and digital transformation priorities.
•    Work closely with engineers, operational teams and management to understand business processes, translate requirements into reliable KPIs, reports and dashboards, and maintain accurate calculation methodologies and business rules.
•    Develop, implement, enhance and maintain analytical solutions, including data models, calculation logic and reporting.
•    Manage the end-to-end delivery of analytical solutions, from data extraction, integration and transformation through development, testing, validation, deployment and ongoing maintenance, following approved change-control procedures.
•    Validate operational KPIs, engineering calculations and reports against official figures and source-system data, ensuring data accuracy, consistency and compliance with group-wide KPI standards.
•    Ensure the reliability, performance and sustainability of operational analytical solutions through monitoring, troubleshooting, documentation, version control and continuous improvement, in coordination with IT and data teams.
•    Identify and deliver reporting automation, operational analytics and digitalization initiatives, either leading projects or contributing as a hands-on technical specialist, supporting user adoption and measuring improvements in efficiency, data quality and business performance.

The fuel needed to go further with us: 
•    Bachelor's or Master's degree in Chemical Engineering, Petroleum Engineering, Computer Science, Data Analytics or a related technical field.
•    Proven experience in industrial or commercial operations, process engineering, industrial analytics or digitalization.
•    Strong understanding of operational processes, including production, mass and energy balances, yields, utilities and laboratory data.
•    Strong programming skills in Python and SQL/KQL, with experience in data modeling, backend and frontend development, and reporting solutions.
•    Experience with Git or another version control system (branching, pull requests, code review); JavaScript or TypeScript (e.g. React) is preferable for report front-ends.
•    Working knowledge of the Microsoft Fabric and Azure platform (e.g. Eventhouse/KQL, Lakehouse, notebooks, pipelines, Power BI).
•    Introductory level of AI engineering (e.g. LLM-based analytics, agents over governed data).
•    Good understanding of solution architecture and Docker (containers, deployment).
•    Ability to define and validate operational KPIs against official figures and collaborate with unit engineers.
•    Strong problem-solving, technical documentation and cross-functional collaboration skills, with the ability to deliver and maintain analytical solutions end-to-end.

You will be supplied with:

•    Meal vouchers
•    Access to private healthcare system (medical subscription) and special rates for family member subscriptions
•    Life and health insurance
•    Holiday bonus
•    Bonus on Oil Worker’s Day
•    Financial support for kindergarten
•    Bonus for employees’ children twice a year
•    Additional annual leave days based on seniority
•    Paid leave and financial support for special events (marriage, birth, retirement, death)
•    Fuel discount in our gas stations with the RompetrolGo+ card
•    Short working schedule every Friday
•    Monthly fruit at the offices
•    Medical assistance and psychological counseling at the office
•    Bookster (borrow books for free, delivered to the office)
•    Discounts with various partners
•    Access to training programs
•    Internal engagement and community programs
•    Inclusive and diverse work environment
•    Volunteering programs
•    Wellbeing programs

What you need to do now:

If you are interested in this role, click “Apply now” to send an updated copy of your CV.
At Rompetrol, we respect the confidentiality of every application. Only selected candidates will be contacted for an interview, and other applications will be kept in our database for a maximum of 6 months.
Fuel your career and start a new journey with us. 

#TogetherWeGrowPeople