Senior FP&A & Data Analyst

Copenhagen, Capital Region
Posted 2 days, 4 hours ago
Finance and Accounting

About the role

Job summary

The role involves joining a Group FP&A team to enhance decision-making support across a European SaaS business. The position focuses on commercial FP&A, business partnering, and data analytics to drive forecasting, budgeting, and strategic planning.

Qualifications

  • Minimum of 3 years of hands-on experience in FP&A, business controlling, or commercial finance within a SaaS or subscription-based environment.
  • Master's degree or equivalent in Finance, Economics, Business, Engineering, Data Analytics, or a related quantitative field.
  • Proven ability to build financial models and translate business drivers into forecasting and planning.
  • Experience with modern analytics and reporting platforms.
  • Strong communication skills in English, capable of conveying complex analyses to non-financial stakeholders.

Responsibilities

  • Develop and maintain forecasting, budgeting, and long-range planning models for key financial metrics.
  • Create scalable reporting solutions and dashboards using BI tools to enhance decision-making.
  • Drive automation of Finance processes through modern analytics and AI tools.
  • Collaborate with Finance, Operations, and Data teams to improve data governance and process alignment.
  • Identify opportunities for process simplification and modernization using emerging technologies.
  • Prepare insightful materials for executive leadership and investor reporting.
  • Challenge existing processes and promote a culture of data-driven decision-making.

Skills

  • Strong commercial acumen and analytical accuracy.
  • Ability to balance strategic thinking with attention to detail.
  • Proactive mindset with strong relationship-building skills.
  • Comfortable working in a dynamic, fast-paced environment.

Education

  • Master's degree or equivalent in a relevant field.

Tools

  • Familiarity with analytics and automation technologies such as Tableau, Power BI, SQL, Python, Power Automate, or similar platforms.
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