Group Data Analyst

Group Data Analyst

Location: MOL Campus
Team: Digital Factory
Experience Level: Senior
Language: Fluent in English
Superpower: Turning data into business impact

About Us: Digital Factory @ MOL Group

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.

Over the past years, we’ve built strong digital foundations:

• a region‑wide Data Lake,

• advanced analytics solutions supporting operations in 8 countries,

• and MOL MOVE, our app‑first loyalty program reaching millions of customers.

Now we’re entering the next phase of transformation – further accelerating adoption across the 8 markets, expanding the impact of advanced analytics, and continuously enhancing our AI-driven capabilities to drive productivity, support better decision-making, and create new digital business opportunities. You’ll also have the opportunity to work with industry-leading platforms like Databricks and GitHub. Having invested heavily in modern data and AI technologies, Digital Factory has become one of the largest enterprise users of the Databricks platform in the region. You'll play a key role in transforming ideas into scalable solutions that deliver measurable business value across Central Eastern Europe. To do this, we’re strengthening our Digital Factory operating model and looking for people who can connect strategy, technology, AI, and execution.

About the Role

We’re looking for a Data Analyst who is passionate about transforming data into actionable business insights and measurable impact. In this role, you will work closely with business stakeholders across MOL Group and local markets, leading the end-to-end delivery of analytics solutions, reporting tools, and strategic insights that support decision-making across Consumer Services. You will act as a trusted analytics partner to the business, translating complex challenges into data-driven solutions while leveraging modern analytics, visualization, and data technologies. Beyond the professional challenges, this role offers a unique opportunity to collaborate with senior leaders and cross-functional teams across eight countries, helping shape the future of retail, mobility, and digital services. If you thrive at the intersection of analytics, business, and technology, you might be our next colleague.

What you’ll do

• 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.

What You Bring

Education

• Bachelor’s degree in Business, Computer Science, Mathematics, Engineering, or a related field.

• Master’s degree is an advantage

Experience

• 5+ years of experience in building data tools, including data analysis, backend and frontend development.

• Experience working with large datasets.

• Exposure to retail, consumer services, FMCG, or customer-focused industries is an advantage.

• Experience working in Agile/Scrum environments is a plus.

Professional Skills

• Strong analytical and statistical thinking.

• Advanced SQL or Python knowledge and experience working with large datasets.

• 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

• Knowledge of machine learning concepts and data science methodologies is a plus.

Soft Skills

• Excellent problem-solving and critical-thinking skills.

• Strong stakeholder management and communication capabilities.

• Ability to manage multiple priorities in a fast-paced environment.

• Proactive mindset with a strong sense of ownership and accountability.

• Team player attitude

• Comfort working in an international and multicultural environment

What we offer

• Work with an advanced and innovative tech stack.

• Collaborate with multinational teams and projects across the CEE region.

• Enjoy tremendous opportunities for continuous learning and growth in a fast-paced, agile environment.

• Explore versatile career paths in a dynamically growing international organization at Local and Group level.

• Gain cross-industry experience through our expanding portfolio of businesses (both within and beyond MOL Group).

• Be part of a supportive and inclusive workplace that values innovation and creativity.

• Access Medicover health insurance and an extensive benefit package, including an annual bonus and maximalized fringe benefits.

• Participate in regular team outings and MOL family events.

How to Apply

Ready to turn data into decisions? Apply now via our career site: www.mol.hu/karrier

Main Recruitment Steps

1. Initial call: You will be contacted by MOL Recruitment via phone for a short chat.

2. Short test: You will receive a link to a short test to check your basic analytical skills.

3. Interview: You can expect three interview rounds, where you can meet your direct manager, some experts from the team, ask your questions and present your skills and career path. We always make sure you receive timely feedback after each round.

4. Case study: You will either receive a take-home assignment after the first interview or be asked to solve a business problem on the spot at one of the interviews.

Meet Your Future Manager

Digital Factory Business Analytics Manager: Mihály Kövesdy -

We’re All About Inclusion

At MOL Group, we know that our strength lies in diversity. During the selection process, we provide equal opportunities to all applicants with the appropriate qualifications and work experience, regardless of age, gender, disability, or reduced work capacity, sexual orientation, or ethnicity. At MOL Group, everyone matters.

If you have any specific needs related to your reduced work capacity at any stage of the recruitment process, please inform our recruitment team! We are happy to assist.