Business Analyst (FP&A)

Copenhagen, Capital Region
Posted 18 hours, 35 minutes ago
Finance and Accounting

About the role

Job summary

We are looking for a motivated Business Analyst to join the FP&A team, engaging directly with senior leadership to support data-driven decision-making in a dynamic environment. This role offers significant visibility and opportunities for growth.

Qualifications

  • Proven experience in commercial analytics, FP&A, consulting, or business analysis, preferably within a SaaS, marketplace, or subscription model.
  • Proficient in Excel and Power BI, with the ability to create reports and analytical views on modern data platforms.
  • Familiarity with experimentation and hypothesis testing methodologies, including A/B testing and causal inference.
  • Working knowledge of Python, particularly with libraries such as pandas and scikit-learn for building and interpreting models.
  • Strong commercial acumen and ability to present findings to senior stakeholders.
  • Excellent structured problem-solving skills, capable of transforming open-ended questions into testable hypotheses.
  • Interest in applied AI/ML techniques to enhance analytical workflows.

Responsibilities

  • Conduct scenario analysis to guide strategic decisions at the leadership level.
  • Support invoicing processes and enhance automation.
  • Analyze raw data and translate business needs into data requirements, collaborating with technical teams.
  • Design and evaluate commercial experiments to validate strategies before implementation.
  • Utilize modeling techniques in Python to address commercial inquiries.
  • Develop and improve Power BI reports using the Microsoft Fabric data platform for management and stakeholders.

Skills

  • Strong analytical skills with experience in commercial analytics and FP&A.
  • Proficiency in Excel and Power BI.
  • Knowledge of Python for data analysis and modeling.
  • Experience with experimentation methodologies.

Education

  • Relevant degree in finance, business, economics, or a related field is preferred.

Tools

  • Microsoft Excel, Power BI, Python, Microsoft Fabric.
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