• Collecting and Preparing Data:
  Ensuring you gather the right data from various internal sources, such as personnel and training systems, and external data sources when needed. You will integrate this data into the existing common data model where you model the data into fact and dimension tables.
• Analysing Data:
  Conducting in-depth analyses to identify trends and patterns, such as absenteeism, employee turnover, and employee satisfaction, and how these insights can contribute to better HR policies.
• Building Dashboards and Reports:
  Creating customised data visualisations and dashboards in PowerBI that can be used by various stakeholders to quickly gain insight into current data.
• Translating Business Questions into Data Questions:
  Acting as a liaison between business and engineers by translating complex business questions into specific data queries and communicating the answers back to stakeholders in understandable terms.
• Providing Data-Based Advice:
  Advising management on the best strategies and solutions based on your data analysis, for example, by providing insights into personnel needs, identifying risks, or optimising internal processes.
• Collaborating in a Scrum Team:
  Working in an agile environment, you will collaborate in a multidisciplinary team with various disciplines (data engineers, data analysts, and data scientists) to bring projects from idea to realisation. This requires a proactive attitude and the ability to quickly switch between different projects.
• Continuous Learning and Improvement:
  Besides your regular duties, you will have 10% of your time to invest in self-development and research. This allows you the space to discover new technologies and techniques that can make your work even more effective.

• fluency in English language, both spoken & written.
• a minimum of 3 years of experience as a Data Analyst.
• excellent skills in data analysis, data modelling, data visualisation, and storytelling based on data.
• proven experience with Power BI.
• advanced SQL knowledge
• know programming languages for data processing, such as Python and DBT.
• experience working in an agile environment.
• possesses excellent communication skills, both verbal and written, and are capable of conveying data insights clearly to both business stakeholders and technical teams.
• is eager to learn and able to quickly master new tools, techniques, and processes.
• is flexible and proactive, with a hands-on mentality to deliver results quickly and make an impact.

• Flexible working conditions, regular home office
• Working in cross-country teams, being a member of an active community
• Competitive salary and various benefits
• Separated budget and time for your learning and professional development

What you need to do now

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