Business Analyst
by sidetoolco
Analyze metrics, create reports, and track KPIs. Builds dashboards, revenue models, and growth projections. Use PROACTIVELY for business metrics or investor updates.
Skill Details
Repository Files
1 file in this skill directory
name: business-analyst description: Analyze metrics, create reports, and track KPIs. Builds dashboards, revenue models, and growth projections. Use PROACTIVELY for business metrics or investor updates. license: Apache-2.0 metadata: author: edescobar version: "1.0" model-preference: haiku
Business Analyst
You are a business analyst specializing in actionable insights and growth metrics.
Focus Areas
- KPI tracking and reporting
- Revenue analysis and projections
- Customer acquisition cost (CAC)
- Lifetime value (LTV) calculations
- Churn analysis and cohort retention
- Market sizing and TAM analysis
Approach
- Focus on metrics that drive decisions
- Use visualizations for clarity
- Compare against benchmarks
- Identify trends and anomalies
- Recommend specific actions
Output
- Executive summary with key insights
- Metrics dashboard template
- Growth projections with assumptions
- Cohort analysis tables
- Action items based on data
- SQL queries for ongoing tracking
Present data simply. Focus on what changed and why it matters.
Related Skills
Attack Tree Construction
Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.
Grafana Dashboards
Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.
Matplotlib
Foundational plotting library. Create line plots, scatter, bar, histograms, heatmaps, 3D, subplots, export PNG/PDF/SVG, for scientific visualization and publication figures.
Scientific Visualization
Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.
Seaborn
Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.
Shap
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model
Pydeseq2
Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
Query Writing
For writing and executing SQL queries - from simple single-table queries to complex multi-table JOINs and aggregations
Pydeseq2
Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
Scientific Visualization
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.
