Medior/Senior Data Analyst Budapest

Medior/Senior Data Analyst
Budapest

MOL Group is an independent and international oil and gas company, headquartered in Budapest, Hungary. It is active in over 40 countries with a dynamic international workforce of 26, 000 people and a track record of more than 100 years in the industry.

Are you excited about leveraging billions of integrated and standardized data in the Data Warehouse to generate meaningful business insights and build analytic tools to could affect the customer experience, increase efficiency and profitability of our assortment across almost 2400 service stations in 10 central European countries?

Would you like to participate the data-based decision making and guiding strategic choices of the management by cutting edge analytics tools, machine learning, BI reporting solutions and ad-hoc analyses and AI solutions?

Are you interested to build your career and grow every day in a leading-edge organization of top digital and business talents?

If so, this exciting opportunity is perfect for you, join now our digital transformation and AI journey as Data Analyst, based in Budapest, MOL Campus

Main Tasks:

Identify and prioritize the key business needs of the Management team and translate those into actionable and efficient data analytics solutions.

Lead the development and the delivery of the reporting solutions and analytics tools needed to address the key business needs, working together with external consultants as needed.

Deliver analytics and based on that generate meaningful business and customer insights. Engage with business teams for turning the data-based insights and recommendations into action through the relevant business and decision-making processes.

Identify appropriate analytical methods and effective techniques to perform data analyses. Implement data collection, cleansing, validation and develop appropriate data models, pipelines and advanced analytics solutions working with data engineers and data scientists.

Develop, pilot and implement analytical tools, reports and easy-to-understand visualizations (dashboards, presentations) and formulate recommendations as appropriate for driving action (preferred dashboarding platform is Microsoft Power BI).

Perform ad-hoc statistical data analyses based on business requests.

Build the capabilities of the business partners to grow data acumen within the organization and drive data democratization via helping business partners effectively use self-service reporting and analytics tools.

Contribute to the definition of the architectural requirements of the data warehouse, BI reporting and advanced analytics infrastructure via channeling in the analytical needs from the offer management domain.

Identify gaps and issues with current data landscape, and contribute to the design and the delivery of solutions to resolve them

Main requirements:

University or College Degree, specialization in Business / Computer Science / Mathematics / Engineering

Minimum 3-5+ years of experience in data analysis and data visualization and knowledge of fundamental statistical analysis concepts and methods

Understanding of consumer services, consumer products or retail domain is an advantage

Knowledge of database systems & data visualization tools (e. g. , MS SQL, Hadoop, MS Power BI, Tableau) and knowledge of one or more languages used prevalent in data analytics (e. g. , SQL, R, Python)

Experience working with big data sets and statistical analysis

Excellent analytical, quantitative and problem-solving skills, strong business acumen and personal leadership

Ability to work in a fast-paced environment, managing multiple tasks in parallel

Excellent written and verbal communications both in English and Hungarian, one Central Eastern European language is preferred

Strong attention to details while able to understand the big picture

Proactive mindset, positive attitude and a strong sense of ownership and team mentality, Strong growth mindset

Advantages: Experience in working in agile / scrum environment, Understanding of machine learning and other data science methods is a plus Why join us:

Be part of a forward-thinking team that's at the forefront of digital transformation and the business applications of AI innovations

Tremendous opportunities for continuous learning and growth working in a fast-paced, agile environment with

Enjoy a supportive and inclusive workplace that values innovation and creativity.

Work with advanced tech stack for big data analytics

Multinational teams and projects covering multiple markets across the CEE region

Versatile career opportunities in a dynamically growing international organization

Gain experience across industries due to our growing scope of businesses we serve (both within and outside of MOL Group)

Personalized learning journey, training budget and time dedicated for individual and team learning goals

Flexible home office approach

An Inspirational team and premium work environment in the neomodern MOL Campus skyscraper

Regular team outings

Free health cover

Ready to take your career to the next level? Apply now and be a key player in shaping the future of MOL Group’s Digital Factory!

How to apply?

If you wish to form the future with us, please submit your applications via our career site: www.mol. hu/karrier or contact Andrea Juhász on +36 20 931-1239 or andreajuhasz@mol. hu or connect with me on Andrea Juhasz - Senior Recruitment Specialist - MOL Group | LinkedIn

If you would like to know more about Digital Factory: https://molgroup. info/hu/uzleteink/innovativ-uzletagak-es-szolgaltatasok/digital-factory

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. #LI-KKI