SENIOR ANALYST, STRATEGIC FINANCE & DATA ANALYTICS

Kandji
Full-time
Miami
Posted on 5 months ago

Job Description

We are seeking a highly analytical, data-driven, and technically skilled Senior Analyst to join our dynamic Strategic Finance team, reporting directly to the Head of Strategic Finance. This role sits at the intersection of finance, data science, and technology—offering an exceptional opportunity to influence strategic decisions at a fast-growing SaaS company that values innovation, collaboration, and personal development. As a key contributor to both financial planning and data analytics, you will support high-impact initiatives, develop scalable financial models, and deliver actionable insights that shape our company’s growth strategy.

Responsibilities

  • Own and enhance FP&A processes including forecasting, budgeting, long-range planning, and variance analysis
  • Ensure strategic decisions are driven by data through real-time visibility, enabled by integrating data pipelines and utilizing SQL
  • Develop and maintain advanced financial models in Adaptive Planning, leveraging SQL queries to assess business scenarios
  • Translate financial data and trends into actionable insights that guide growth
  • Build and automate dashboards and recurring reports using BI tools
  • Analyze SaaS metrics such as LTV, CAC, and gross margin to surface trends and guide executive decisions
  • Partner with Product, Sales, Marketing, and Ops to align financial strategy with business objectives
  • Deliver structured analysis and insights through clear storytelling and data visualization
  • Contribute to investor and board materials by combining financial analysis with compelling data narratives
  • Provide timely, data-driven responses to strategic finance and investor questions

Requirements

  • 4–7 years of experience in strategic finance, investment banking, financial engineering, or data analytics within a SaaS or high-growth environment
  • Advanced SQL proficiency
  • Comfort working with large datasets and writing complex queries
  • Strong experience with Excel and Adaptive Planning
  • Familiarity with Snowflake (bonus)
  • Experience with data visualization tools
  • Excellent communication skills, with the ability to explain technical findings to financial and non-technical audiences
  • Bachelor’s degree in Finance, Economics, Computer Science, Financial Engineering, or a related field

Benefits

  • No benefits