Total 30,734 skills, Data Processing has 1471 skills
Showing 12 of 1471 skills
Use when designing, tuning, or auditing revenue forecast models.
Standard method for slicing bookings, pipeline, and retention cohorts for diagnostics.
Expert customer health scoring and analytics guidance. Use when designing health scores, building churn prediction models, analyzing usage metrics, identifying at-risk accounts, creating executive dashboards, or performing cohort analysis. Use for leading indicator development, customer data enrichment, risk escalation frameworks, and retention analytics.
Use to design composite intent scoring models with decay, weighting, and governance.
Use when defining events, fields, and governance for GTM analytics pipelines.
Use to design provider sequences, throttling logic, and credit policies for enrichment waterfalls.
Use when designing dashboards, reports, and narratives for GTM stakeholders.
Expert-level data mesh architecture, domain-oriented ownership, data products, federated governance, and self-serve platforms
Analyze CSV files, generate summary statistics, and create visualizations using Python and pandas. Use when the user uploads, attaches, or references a CSV file, asks to summarize or analyze tabular data, requests insights from CSV data, or wants to understand data structure and quality.
Handle messy CSVs with encoding detection, delimiter inference, and malformed row recovery.
Visualization Best Practices - Auto-activating skill for Data Analytics. Triggers on: visualization best practices, visualization best practices Part of the Data Analytics skill category.
Kpi Definition Helper - Auto-activating skill for Data Analytics. Triggers on: kpi definition helper, kpi definition helper Part of the Data Analytics skill category.