GROUP DATA ANALYST
Employer · Molgroup
Budapest
At Digital Factory, we're leading MOL Group's transformation from a traditional fuel retailer into a digitally driven consumer goods and mobility services provider across Central Eastern Europe. We're looking for a Data Analyst who is passionate about transforming data into actionable business insights and measurable impact.
Tasks
- Partner with business stakeholders to understand priorities and translate business needs into analytics solutions and actionable insights.
- Identify opportunities where data and analytics can generate tangible business value and drive adoption of data-driven decision making.
- Lead the end-to-end development and delivery of advanced analytics tools, covering both back-end and front-end related tasks.
- Generate customer and business insights through advanced analyses and provide recommendations that drive strategic decisions.
- Collaborate with other data engineers, data scientists, BI developers, and external partners to build scalable analytics solutions.
- Accelerate adoption of Digital Factory tools and capabilities across business functions.
Conditions & benefits
Tech StackWork with an advanced and innovative tech stack.International EnvironmentCollaborate with multinational teams and projects across the CEE region.Learning and GrowthEnjoy tremendous opportunities for continuous learning and growth in a fast-paced, agile environment.Career PathsExplore versatile career paths in a dynamically growing international organization at Local and Group level.Cross-Industry ExperienceGain cross-industry experience through our expanding portfolio of businesses (both within and beyond MOL Group).Workplace CultureBe part of a supportive and inclusive workplace that values innovation and creativity.Health & BenefitsAccess Medicover health insurance and an extensive benefit package, including an annual bonus and maximalized fringe benefits.Team EventsParticipate in regular team outings and MOL family events.
Requirements
- Bachelor's degree in Business, Computer Science, Mathematics, Engineering, or a related field (Master's degree is an advantage)
- 5+ years of experience in building data tools, including data analysis, backend and frontend development
- Experience working with large datasets
- Strong analytical and statistical thinking
- Advanced SQL or Python knowledge
- Experience with data visualization tools such as Microsoft Power BI or Tableau
- Understanding of data models, data pipelines, and reporting architectures
- Strong business acumen with the ability to connect analytics to business outcomes
- Fluent in English