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8 days ago
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Requirements and responsibilities
Teach AI how to think like a world-class business analyst.Required Skills:Business Intelligence Tools: Hands-on with Tableau, Looker, Power BI, or Metabase. You build dashboards, set up data models, and turn raw data into insights. SQL is second nature. You know when to use a chart vs. a table.KPI Reporting: You define, track, and interpret metrics that matter. Revenue, CAC, LTV, churn, NPS, funnel conversion. You spot trends, diagnose issues, and tell the story behind the numbers. Executive-ready reporting.Data Analysis: Strong quantitative skills. Excel/Sheets, SQL, Python, or R. You clean messy data, run cohorts, and build models. A/B testing, forecasting, and segmentation. You separate signal from noise.+14: Ops, strategy, or analytics experience at startups or consulting. Financial modeling and P&L understanding. Data pipeline or dbt knowledge. Experience with CRM data, product analytics, or growth metrics. AI/LLM domain familiarity. Clear written communication. Remote work experience.You’ll Own:Create and evaluate business analytics content for AI training.Review model outputs on data analysis, metrics, and ops problems.Write prompts, build eval rubrics, and provide expert reasoning.Label datasets on SQL, dashboards, and business case studies.Remote, flexible, project-based.Why micro1:Your analytical rigor helps AI give better business advice.Shape models used by founders, operators, and analysts.Flexible schedule, challenging problems, and direct impact on enterprise AI.If you live in spreadsheets and dashboards and can explain data to execs — apply.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)