Excel Team Lead

Key Responsibilities

• Spot-check Excel/spreadsheet items and provide feedback through DMs.
• Review AI-generated formulas, spreadsheet workflows, financial models, data-cleaning steps, pivot-table guidance, charts, and explanations.
• Communicate guideline changes and Excel-specific standards on Discord.
• Answer questions around formulas, references, lookup logic, dynamic arrays, pivot tables, Power Query, modeling assumptions, and rubric interpretation.
• DM inactive contributors and manage activation follow-ups.
• Create Excel documentation, style guides, examples, trackers, FAQs, honeypots, and onboarding materials.
• Run onboarding/training calls for Excel contributors.
• Flag misleading analysis, fragile spreadsheet logic, incorrect formulas, or risky business/financial assumptions.
• Improve QA processes based on recurring spreadsheet-quality gaps.

Requirements

• Strong grasp of English to follow guidelines and provide clear feedback.
• 3+ years of professional experience using Excel for analysis, reporting, financial modeling, operations, BI, accounting, data cleaning, training, or spreadsheet QA.
• Strong understanding of formulas, functions, cell references, lookup logic, dynamic arrays, pivot tables, charts, conditional formatting, data validation, and spreadsheet modeling best practices.
• Ability to identify issues such as incorrect formulas, wrong references, circular logic, poor assumptions, missing edge cases, fragile models, misleading charts, or incomplete explanations.
• Familiarity with advanced Excel features such as XLOOKUP, INDEX/MATCH, SUMIFS, COUNTIFS, FILTER, SORT, UNIQUE, LET, LAMBDA, Power Query, Power Pivot, VBA/macros, Solver, and scenario modeling is preferred.
• Experience leading or supporting remote teams of trainers, analysts, reviewers, finance professionals, educators, or QAs is strongly preferred.
• Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, Excel Online, Google Sheets, and PM systems.
• Highly organized and able to maintain style guides, trackers, FAQs, honeypots, calibration tasks, and onboarding materials.
• Experience with AI training, data annotation, LLM evaluation, spreadsheet QA, or rubric-based review is a strong plus.