Data Business partner

Job title:

Data Business partner

Company:

MOL Group

Job description

Would you like to participate in international projects, activities to implement robust, enterprise grade and futureproof data analytics solutions in alignment with MOL Group’s strategy?Are you eager in participating in design, implementation and lifecycle management processes of enterprise Data and AI/Machine Learning solutions?Would you like to part of a team supporting several MOL business field’s Data and AI solutions?If yes, then your place is here with us as Data & AI Business Partner based in Budapest MOL Campus.Main responsibities:

  • Manage Stakeholders to transform they ideas to Business Value.
  • Maintain contemporary knowledge of Data, AI and IT solutions, industry benchmarks and trends in the field of data science and apply it in every day job
  • Cooperate closely with Business in order to collect, reconcile, analyze and iterate Data and AI related business requirements and convert them into data science and AI problems definitions and preliminary plans
  • Proactively looking for the opportunities and propose initiatives to leverage the potentials in business organizations from data usage, data consumption and data analytics and AI point of view
  • Drive complex data science solutions with the help of Data and AI team
  • Participate in evaluation of suppliers/ vendors involved in enterprise analytics solutions and managing them during the implementation process to ensure professional execution
  • Support and coordinate vendor related processes and track, measure and report vendor performance on analytical projects.
  • Active participation and control of data, data management projects and Service Improvement Request, collaborate with the project manager and the project team

Requirements:

  • University or college degree or equivalent work experience
  • Education on computer Science/Mathematics/Statistics/Economics/Chemistry/Engineering/Logistics/ Accounting/Finance
  • Minimum 2 years’ experience in reporting/data management preferably in relation to finance field/data partnering role
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Express technical and business concepts, ideas, and conclusions orally and in writing
  • Willingness to explore data and systems that have not been analyzed before
  • Understand internal customer’s business needs and translate them into IT specific requirements
  • Knowledge of data structure, statistics and experience using statistical packages for analyzing datasets
  • Knowledge of predictive and prescriptive algorithms and their mathematical / statistical background
  • Result oriented and able to work on own

What we offer:

  • Multinational environment based in the 11th district of Budapest
  • Acquirement of new technologies, like AI
  • Participation in international projects
  • Home office possibility
  • Horizontal and vertical career advancement opportunities at Local and Group level
  • Professional and further trainings
  • Supportive environment
  • Competitive other benefits (bonus, high amount of fringe benefits)
  • Free health cover
  • Family and other events

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 onAt 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

Expected salary

Location

Budapest

Job date

Tue, 04 Feb 2025 01:48:52 GMT

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