Állás részletei
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Cég neve
MOL Nyrt.
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Munkavégzés helye
MOL Campus - Budapest, MOL Campus, Dombóvári út 28, 1117 -
Fizetés
Bónusz -
Egyéb juttatások
- Egészségbiztosítás
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Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
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Elvárások
- Angol középfok
- 3-5 év tapasztalat
- Főiskola
Hasonló állásokról értesítőt állítottunk be!
Állás leírása
Tasks
Understand business needs and translate them into well-structured business, data and reporting requirements
Work with business stakeholders to clarify objectives, priorities, KPIs and acceptance criteria
Analyze business processes, data flows and datasets to identify improvement opportunities and support decision-making
Act as the bridge between business users, product owners, data engineers, BI developers and other technical teams
Generate insights that drive decision-making across markets and teams
Support the design of reports, dashboards and analytical solutions by defining key metrics, business rules and visualization requirements
Coordinate business validation and user acceptance testing to ensure solutions meet agreed requirements
Promote data literacy and support data-driven decision-making across the organization
Maintain clear documentation of requirements, processes and business definitions
Support data governance, quality and adoption of data products across the organization
Requirements
Education
Bachelor’s degree in a relevant field (Master’s is a plus)
Experience
3+ years of experience in a Business Analyst, business consulting, or similar client-facing role
Experience working with modern data platforms and technologies (e.g. Azure Data Factory, Databricks, Kafka) is an advantage
Familiarity with consumer services, retail, or similar domains
Experience in agile or scrum environments is a plus
Skills
Strong analytical mindset and problem-solving abilities
Excellent communication and influencing skills (written and verbal)
Business acumen and personal leadership
Ability to manage multiple tasks in a fast-paced environment
Experience with Power BI or similar data visualization tools
Understanding of data modeling, data governance and system integration concepts
Knowledge of SQL and data warehousing concepts is an advantage
Soft Skills
Detail-oriented, with the ability to see the big picture
Clear communicator with a collaborative spirit
Curious and proactive, with a strong sense of ownership
Comfortable working independently and managing multiple tasks
Open to working across cultures and countries
Eager to learn and grow in a fast-paced environment
What we offer
Work with cutting-edge technologies and innovative team.
Collaborate across the CEE region on impactful projects reaching millions of customers.
Opportunities for professional growth and cross-industry experience.
Access to Medicare health insurance, annual bonus, and a comprehensive benefits package.
Regular team outings and MOL family events.
A workplace that values inclusion, creativity, and your unique perspective.
Workplace extras
- Canteen
- Cafe
- Medical assistance
- Shower
- Corporate events
- Company bus
- Bicycle storage
- Parking
- Sports facilities
- Kindergarten
- Dog friendly
- Free fruits, snacks
- Play corner
- Work clothes
Company info
It’s a place where the agility of a start-up meets the stability of a global powerhouse!
That’s us. We’re Digital Factory, the innovation engine behind MOL Group’s transformation from a traditional fuel retailer into a digital-first, customer-obsessed mobility and consumer services powerhouse.
We build smart systems powered by data and AI – from our Salesforce-based loyalty app (MOL MOVE) to advanced analytics in pricing, forecasting, and workforce optimization. Our Group Data Analytics team is at the heart of this transformation, and now we’re looking for a new teammate to join the journey.
About the Role
As a Data Solutions Business Analyst you’ll be at the intersection of business and data. You’ll work closely with cross-functional teams to design and implement custom-built analytics tools, generate insights, and help business units across MOL Group (and beyond) make smarter, data-driven decisions.
This role is perfect for someone with a consulting mindset, strong analytical skills, and a passion for solving real business problems with data.
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