Financial Planning & Analysis (FP&A) Specialist – AI Evaluation Project

Truelancer AI; United States; Remoto; USD 85.000 - 120.000; Part-time

Descrizione del lavoro

Truelancer AI is seeking an experienced FP&A professional based in the United States to handle financial modelling, forecasting, variance analysis, and executive reporting in an AI-driven environment.

The ideal candidate will be proficient with Google Sheets/Slides/Docs and comfortable editing JSON files and using GitHub for code-related updates. This is a project-based/contract position requiring strong analytical and independent work skills.

Competenze

• 3+ years of FP&A experience required.
• Strong hands-on skills in financial modelling and forecasting.
• Experience with forecast variance analysis and executive reporting.
• Proficiency with Google Workspace tools (Sheets, Slides, Docs).
• Familiarity with editing JSON files and Git/GitHub workflows.

Mansioni

• Develop and review financial models, forecasts, and analyses.
• Perform forecast variance analysis and identify key financial trends.
• Conduct vendor spend and headcount reconciliations.
• Prepare executive-level financial reports, summaries, and presentations.
• Work with Google Sheets/Slides to analyze and present data.
• Review and edit JSON files and manage commits via Git/GitHub.
• Operate AI agent environments and provide support for AI evaluation.

Conoscenze

Financial modelling

Forecasting

Variance analysis

Executive reporting

Data analysis

Attention to detail

Strumenti

Google Sheets

Google Slides

Google Docs

Git/GitHub

Descrizione del lavoro

Location: United States (US-based candidates only)
Experience: 3–10 Years (3+ years required)
Engagement: Project-based / Contract

About the Role

We are looking for experienced Financial Planning & Analysis (FP&A) professionals based in the United States who have strong expertise in financial modelling, forecasting, variance analysis, and executive reporting.

The ideal candidates should have hands‑on experience with Google Workspace tools and be comfortable working with technical tools, including JSON files, GitHub, and AI agent environments. This role involves applying financial domain expertise in an AI‑driven evaluation environment.

Key Responsibilities

• Develop and review financial models, forecasts, and financial analyses.

• Perform forecast variance analysis and identify key financial trends and discrepancies.

• Conduct vendor spend and headcount reconciliations.

• Prepare executive‑level financial reports, summaries, and presentations.

• Work extensively with Google Sheets and Google Slides to analyse and present financial data.

• Use spreadsheet formulas, pivot tables, and other analytical functions to manage and interpret financial information.

• Review and edit JSON files and make code‑related changes, including committing updates through Git and submitting pull requests on GitHub.

• Operate AI agent harnesses and development environments such as Antigravity and Claude Code.

• Support AI evaluation activities, including reviewing outputs and assessing their accuracy, quality, and relevance against defined criteria.

Required Skills & Qualifications

• 3+ years of professional experience in Financial Planning & Analysis (FP&A), preferably with less than 10 years of experience.

• Strong hands‑on experience in:

  • Financial modelling and forecasting.

  • Forecast variance analysis.

  • Vendor spend and headcount reconciliation.

  • Executive reporting and financial presentations.

• Proficiency in Google Workspace, particularly:

  • Google Sheets: Advanced formulas, pivot tables, data analysis, and reconciliation.

  • Google Slides: Creating executive‑level presentations and reports.

  • Google Docs: Preparing and editing business documentation.

• Familiarity with editing JSON files and making code changes using Git and GitHub, including commits and pull requests.

• Comfort working with AI agent harnesses and development environments such as Antigravity or Claude Code.

• Strong analytical, problem‑solving, and communication skills.

• Ability to work independently and manage financial data with accuracy and attention to detail.

Preferred Qualifications (Good to Have)

• Prior experience in Large Language Model (LLM) evaluation.

• Experience designing evaluation rubrics, assessment frameworks, or quality benchmarks.

• Background in management consulting or financial advisory.

• Previous exposure to AI‑assisted financial analysis or automation workflows.

Ideal Candidate Profile

We are looking for professionals who combine strong FP&A domain knowledge with an interest in technology and AI. Candidates should be comfortable transitioning between traditional financial analysis tasks and technical environments involving AI agents, structured data, and code repositories.

Important: Candidates do not need to be software developers, but they should be comfortable editing JSON files, managing basic Git/GitHub workflows, and operating AI agent tools.