Finance Data Analyst

2 semanas atrás

Brasil Third-Party Job Posts Tempo inteiro US$90.000 - US$120.000 por ano

How You'll Make an Impact:

As a Finance Data Analyst, you will work closely with the rest of the Finance team, Business Intelligence team and cross-functional stakeholders to transform complex data into actionable insights that drive strategic and operational decisions. You'll play a key role in building scalable data solutions, refining financial reporting, and helping leadership understand key performance drivers through intuitive dashboards and analysis. This can be a highly visible role as the individual reports to the Director of Finance.

Our Finance Team:

We're a tight-knit, high-performing team energized by the challenge of making data intuitive, accurate, and impactful. We collaborate closely across departments, combining analytical rigor with business strategy to unlock value across the company. People who thrive here are naturally curious, highly accountable, and enjoy translating numbers into real-world business outcomes.

What You Bring to the Team:

  • Build and maintain scalable dashboards and reports in Sigma using Snowflake data
  • Partner with Finance, BI, GTM, and Ops teams to define KPIs and build trusted datasets
  • Design and maintain robust data models for SaaS metrics (ARR, churn, CAC, LTV)
  • Identify and implement automation opportunities to reduce manual reporting
  • Ensure data accuracy and consistency across all reporting surfaces
  • Translate business needs into technical solutions and visualizations
  • Support ad hoc analysis and decision-making with clear, actionable insights

What Sets You Up for Success:

  • 2 years of experience in BI or analytics roles, ideally in a SaaS environment for Finance
  • Proficient in SQL and experienced working with Snowflake
  • Strong hands-on experience with Sigma or comparable tools (e.g., Looker, Tableau, Power BI)
  • Deep understanding of financial and SaaS metrics
  • Clear and effective communicator—comfortable working with non-technical stakeholders
  • Ability to manage competing priorities in a fast-paced environment
  • Strong problem-solving skills with a high attention to detail

Bonus Skills to Stand Out (Optional):

  • Familiarity with financial planning tools like Adaptive
  • Python or R experience for advanced analysis or automation
  • Experience supporting Finance or Revenue Operations teams

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