Expert Opportunity - Senior Data Analyst ($80/hr, up to $1,600/week)

About This Opportunity We're working with a leading foundational AI lab to find experienced senior data analysts who can help train their latest language model on professional document, spreadsheet, and slide deck tasks. We're looking for senior data analysts with 4+ years building dashboards, reporting pipelines, and data-driven business narratives to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: executive KPI dashboards, monthly business performance decks, ad hoc SQL data pulls, data quality and validation checklists, metric definition glossaries, and self-serve reporting templates for stakeholders. Compensation: $80/hour Commitment: Flexible, 5-20 hours per week (or more if desired) Location: Fully remote, work on your own schedule Start date: ASAP Qualifications • 4+ years building and maintaining BI dashboards, KPI reporting, and self-serve analytics for business stakeholders • Fluency in SQL and at least one BI/visualization tool with a proven track record of turning raw data into clear, decision-ready business narratives • Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail About Ethos Ethos is a new expert network built by a McKinsey/SoftBank/DeepMind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities. Key Requirements • 4+ years building and maintaining BI dashboards, KPI reporting, and self-serve analytics for business stakeholders • Fluency in SQL and at least one BI/visualization tool with a proven track record of turning raw data into clear, decision-ready business narratives • Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail Show more Show less

Train and refine AI-generated documents, spreadsheets, and slide decks across core workflows (executive KPI dashboards, monthly business performance decks, ad hoc SQL data pulls, data quality and validation checklists, metric definition glossaries, self-serve reporting templates for stakeholders). Build dashboards, reporting pipelines, and data-driven business narratives to support AI model training and evaluation.