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Data Analyst

vor 2 Monaten


Frankfurt am Main, Hessen, Deutschland payabl. Vollzeit
About the Role

At payabl., we're on a mission to revolutionize the payments landscape. As a Data Analyst, you'll play a crucial role in helping us achieve this goal. Your primary responsibility will be to collect, process, and analyze data from various business information systems to uncover valuable insights, identify challenges, and suggest solutions that drive business growth.

Key Responsibilities
  • Analyze data to identify trends, patterns, and correlations, and present findings in a clear and actionable manner.
  • Develop and maintain databases, ensuring data accuracy and relevance.
  • Collaborate with cross-functional teams to understand their data needs and provide data-driven insights to inform business decisions.
  • Design and implement data visualization tools to communicate complex data insights to stakeholders.
  • Stay up-to-date with industry trends and emerging technologies, and apply this knowledge to improve data analysis and visualization techniques.
Requirements
  • Proven experience in data analysis, with a strong background in statistical tools and techniques.
  • Proficiency in programming languages such as Python, SQL, and Excel.
  • Experience with data visualization tools like Power BI, Tableau, or Qlik.
  • Ability to automate data reports and ensure efficiency and accuracy in data delivery.
  • Excellent communication and interpersonal skills, with the ability to present complex data insights to various audiences.
What We Offer
  • Competitive compensation package, including a market-aligned salary and bonus potential.
  • Extended vacation time, with 28 days off and special holidays on December 24th and 31st.
  • Opportunities for career growth and professional development in a flat-hierarchy setting.
  • Global perspectives and diverse experiences, with a chance to work with a multicultural team.
  • Hybrid work options, with the flexibility to work from home or in our office in Frankfurt am Main.
How to Apply

If you're a motivated and detail-oriented individual with a passion for data analysis, we encourage you to submit your resume. All applications will be treated with the strictest confidentiality, and we may keep your CV for future relevant job opportunities. For more information about how we process your data, please see our privacy policy.