Associate Data Analyst, Group FP&A Architecture & Systems

Budapest, HU, 1062

Grundfos

Water is and has always been at the heart and soul of Grundfos. Our promise to the world is to respect, protect, and advance the flow of water.

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What is the job about?

An Associate Finance Specialist is an important and valuable part of Grundfos Group Tax team. The Associate Finance Specialist is the overall responsible for the Indirect tax activities of the assigned companies and should ensure timely submission of compliant indirect tax returns.  

 

Your main responsibilities:

  • Maintain Data Models: This involves ensuring that existing data models are up-to-date, accurate and functioning as intended. This may include monitoring dana quality, updating models to reflect chnages in the business or data sources.
  • Data analysis: Analytically skilled, organize and interpret various types of data, able to effectively find, collect and other analytics in a scope of business.
  • Technical Development Assistance: Assisting in the development process for various projects. Ensuring that all projects are delivered in a consistent manner and according to agreed procedures and specifications. It may include data validation, assistance in development (python, tm1, etc).
  • Stakeholder support: Assistance to users with technical or data validation problems when using planning system or tools. This means collaboration with IS technicians, users and team members. The aim is to provide fast and effective solution to IT problems, data reconciliation/consolidation.
  • Soft skills: Ability to communicate and interact effectively with others, collaborative, and eager to learn. We are looking for an individual with good troubleshooting skills.

 

 Your background

We imagine that you have:  

  • 0-2 years of relevant experience especially in the field of data analysis or data engineering
  • Demonstrated ability to communicate complex data concepts and financial information in a straightforward manner. Data Analysis and Engineering Skills: Strong analytical and problem-solving skills. Proficiency in data analysis tools and languages (e.g., Python, R, SQL). Experience in collecting, processing, and analyzing data to derive actionable insights.  
  • Basic Understanding of Accounting and Corporate Finance
  • Preferably knowledge of SAP S/4 Hana. Familiarity with SAP BW (Business Warehouse). Experience with PowerBI for data visualization. Understanding of IBM Planning Analytics/TM1.
  • Proven ability to collaborate effectively within a team environment.
  • Proficiency in written and oral communication in English          

What’s in it for you?

What are your goals? Here at Grundfos it’s our mission to help you develop and fulfil your ambitions, both career and personal. We are guided by our six core values, and you’ll find that your fresh ideas will be welcomed and make a difference in everything from local to large-scale global projects. You’ll encounter colleagues from all over the world both as part of your daily work, supporting and all the while broadening each other’s cultural horizons.

 

In addition, your day-to-day benefits include:

  • Flexible working hours; home office possibility and equipment; up to 3 days’ paid leave for volunteering
  • Annual bonuses, parental support, internal well-being consultants and programmes, engaging team buildings 
  • Diverse, inclusive environment with employee-led forums offering colleagues a safe place to connect and share openly
  • Long-term career development with regular dialogue, as well as continuous learning and development opportunities.

 

Do you want to learn more?

If this job sounds appealing, please send your resume by clicking “Apply”.

 

To dig deeper into the Grundfos universe, follow us on LinkedIn or Youtube, and to get to know some of your future colleagues and why they love working at Grundfos, check out Meet our people

 

We look forward to hearing from you.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Data analysis Data visualization Engineering Finance Power BI Python R SQL

Perks/benefits: Career development Flex hours Gear Parental leave

Region: Europe
Country: Hungary
Job stats:  6  0  0

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