Remote FP&A Analyst — Data-Driven & Growth Focused

Canonical Ltd.

United States

Remote

USD 90,000 - 120,000

Full time

3 days ago
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Benefits offered by this job

Learning budget (USD 2,000 per year)
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity & paternity leave
Team wellbeing program

Job summary

Canonical Ltd. is seeking a Financial Analyst to join the FP&A team, working remotely in Americas time zones. You will support monthly reviews, quarterly forecasting, annual planning, and financial modeling to enable data-driven decisions.

The role emphasizes cross-functional collaboration and communicative, analytical thinking. The ideal candidate will have a strong academic track record, proficiency in spreadsheets and financial modeling, and the ability to translate complex data into

Qualifications

  • Bachelor's degree in finance, business or related field.
  • Strong analytical and problem-solving abilities with data-driven mindset.
  • Experience in financial modeling, forecasting, and planning.

Responsibilities

  • Generate insights by analyzing unit economics, variance drivers, and KPIs.
  • Support quarterly/annual planning, forecasting, reporting, and monthly budgets.
  • Analyze commercial initiatives with strategic/financial impact.
  • Create analyses and processes for scaling a fast-growing tech company.
  • Support cross-functional change projects to improve systems and data accuracy.
  • Communicate progress to stakeholders against financial and strategic targets.

Skills

Analytical skills
Financial modeling
Data-driven decisions
Presentation skills
Cross-functional collaboration
English proficiency
Excel proficiency
Problem solving
Adaptability

Education

Bachelor's degree in finance or related field

Tools

BI reporting
CRM systems
ERP systems

Job description

Canonical Ltd. is seeking a Financial Analyst to join the FP&A team, working remotely in Americas time zones. You will support monthly reviews, quarterly forecasting, annual planning, and financial modeling to enable data-driven decisions.

The role emphasizes cross-functional collaboration and communicative, analytical thinking. The ideal candidate will have a strong academic track record, proficiency in spreadsheets and financial modeling, and the ability to translate complex data into

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