{"id":3345125,"url":"https://alion.io/job/mol-group-group-data-analyst","title":"Group Data Analyst","company":{"id":1830421,"name":"MOL Group","domain":"mol.hu","url":"https://alion.io/company/mol-hu","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":97,"open_postings":15,"ghost_share":0,"stale_share":0.133,"repost_share":0,"time_to_fill_p50_days":59,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Budapest, Hungary"],"countries":["HU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":51000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3468},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Databricks","optional":false},{"name":"GitHub","optional":false},{"name":"Scrum","optional":false},{"name":"Machine Learning","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-27T16:56:29Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-31T15:34:38Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Group Data Analyst\nLocation: MOL Campus\nTeam: Digital Factory\nExperience Level: Senior\nLanguage: Fluent in English\nSuperpower: Turning data into business impact\nAbout Us: Digital Factory @ MOL Group\nAt 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.\nOver the past years, we’ve built strong digital foundations:\na region-wide Data Lake,\n\nadvanced analytics solutions supporting operations in 8 countries,\n\nand MOL MOVE, our app-first loyalty program reaching millions of customers.\n\nNow 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.\nAbout the Role\nWe’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.\nWhat you’ll do\nPartner with business stakeholders to understand priorities and translate business needs into analytics solutions and actionable insights.\n\nIdentify opportunities where data and analytics can generate tangible business value and drive adoption of data-driven decision making.\n\nLead the end-to-end development and delivery of advanced analytics tools, covering both back-end and front-end related tasks.\n\nGenerate customer and business insights through advanced analyses and provide recommendations that drive strategic decisions.\n\nCollaborate with other data engineers, data scientists, BI developers, and external partners to build scalable analytics solutions.\n\nAccelerate adoption of Digital Factory tools and capabilities across business functions.\n\nWhat You Bring\nEducation\nBachelor’s degree in Business, Computer Science, Mathematics, Engineering, or a related field.\n\nMaster’s degree is an advantage\n\nExperience\n5+ years of experience in building data tools, including data analysis, backend and frontend development.\n\nExperience working with large datasets.\n\nExposure to retail, consumer services, FMCG, or customer-focused industries is an advantage.\n\nExperience working in Agile/Scrum environments is a plus.\n\nProfessional Skills\nStrong analytical and statistical thinking.\n\nAdvanced SQL or Python knowledge and experience working with large datasets.\n\nExperience with data visualization tools such as Microsoft Power BI or Tableau.\n\nUnderstanding of data models, data pipelines, and reporting architectures.\n\nStrong business acumen with the ability to connect analytics to business outcomes\n\nKnowledge of machine learning concepts and data science methodologies is a plus.\n\nSoft Skills\nExcellent problem-solving and critical-thinking skills.\n\nStrong stakeholder management and communication capabilities.\n\nAbility to manage multiple priorities in a fast-paced environment.\n\nProactive mindset with a strong sense of ownership and accountability.\n\nTeam player attitude\n\nComfort working in an international and multicultural environment\n\nWhat we offer\nWork with an advanced and innovative tech stack.\n\nCollaborate with multinational teams and projects across the CEE region.\n\nEnjoy tremendous opportunities for continuous learning and growth in a fast-paced, agile environment.\n\nExplore versatile career paths in a dynamically growing international organization at Local and Group level.\n\nGain cross-industry experience through our expanding portfolio of businesses (both within and beyond MOL Group).\n\nBe part of a supportive and inclusive workplace that values innovation and creativity.\n\nAccess Medicover health insurance and an extensive benefit package, including an annual bonus and maximalized fringe benefits.\n\nParticipate in regular team outings and MOL family events.\n\nHow to Apply\nReady to turn data into decisions? Apply now via our career site: www.mol.hu/karrier\nMain Recruitment Steps\nInitial call: You will be contacted by MOL Recruitment via phone for a short chat.\n\nShort test: You will receive a link to a short test to check your basic analytical skills.\n\nInterview: 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.\n\nCase 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.\n\nMeet Your Future Manager\nDigital Factory Business Analytics Manager:Mihály Kövesdy -https://www.linkedin.com/in/mihaly-kovesdy/\nWe’re All About Inclusion\nAt 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.\nIf you have any specific needs related to your reduced work capacity at any stage of the recruitment process, please inform our recruitment team! 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