Associate - Financial Planning & Analysis (FP&A)

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Posted Oct 26, 2026

Remote · US · Worldwide Full Time
Est. $95K – $135K/yr

Overview

This role is for an Associate in Financial Planning & Analysis (FP&A). Reporting to the Chief Financial Officer (CFO), you will translate financial and operational data into actionable insights, develop self-service analytics capabilities, and partner across the organization to support predictive, forward-looking decision-making. You will also be hands-on with core FP&A cycles as the finance function scales.

Responsibilities

Insight Generation & Strategic Analysis

  • Conduct deep-dive analyses into business performance, customer behavior, and operational efficiency to surface trends, anomalies, and opportunities.
  • Develop predictive models and scenario analyses to anticipate future business needs.
  • Transform complex datasets into clear visualizations and narratives for diverse audiences.

Financial Planning, Forecasting & Reporting

  • Support the core FP&A cycle across the annual budget, P&L and cash forecasting, variance analysis, headcount and compensation planning, and board/executive reporting packs.
  • Consolidate and reconcile data from multiple systems (FP&A platforms, accounting systems, CRM, operational databases) to ensure reporting and forecasting actuals integrity.

Cross-Functional Partnership & Decision Enablement

  • Partner with senior leadership to identify key business questions, design analytical frameworks, and deliver findings that influence executive decisions.
  • Ensure seamless integration between financial models and analytical insights to provide a unified view of business performance.
  • Advise key leaders across sales, operations, product, and marketing with data-driven recommendations that shape resource allocation and strategic initiatives.

Automation & Continuous Improvement

  • Identify opportunities to automate recurring reporting processes across finance and sales analytics; build automated reporting solutions to reduce manual effort and accelerate insight delivery.
  • Build repeatable analytical frameworks to increase organizational bandwidth and reduce reliance on ad hoc data pulls.
  • Leverage AI tools to accelerate insight generation, automate recurring analytical tasks, and improve the quality and speed of financial modeling and reporting.
  • Continuously improve systems utilization to unlock greater value from existing technology investments.
  • Evaluate and implement scalable reporting tools and dashboards that provide real-time visibility into business performance and trends.

Data-Driven Culture & Capability Building

  • Champion a data-first mindset across the organization, ensuring proper data treatment and enabling teams to use analytics in day-to-day decisions and strategic planning.

Requirements

  • 4–8 years of progressive experience in FP&A, financial data analytics, or business intelligence, with demonstrated success translating data into business impact.
  • Intellectual curiosity and a willingness to bring a point of view and carry through new ideas.
  • Hands-on technical expertise with a “builder” mentality: able to design solutions from scratch, troubleshoot issues, and deliver results in ambiguous environments.
  • Ability to actively leverage AI tools (LLMs, AI-assisted coding, analytics copilots) as a core part of the toolkit.
  • Excellent communication skills, including translating technical findings into strategic recommendations for diverse audiences.
  • Entrepreneurial mindset with passion for experimentation, continuous learning, and pushing what’s possible with data.
  • Strong collaboration across finance, sales, operations, and technology teams.
  • Bachelor’s degree in Economics, Finance, Data Science, Statistics, Mathematics, or related field preferred.

Compensation & Benefits

  • Competitive compensation package including base salary, performance-related bonuses, and equity participation.
  • Equity for all employees.
  • Employee benefits designed to support employees and their loved ones.

Location

  • Work from anywhere approach (globally distributed colleagues and clients).