Part-Time Sales Forecast Analyst

I’m looking to bring in a part-time data analyst who can apply predictive analysis techniques to my customer data so I can forecast monthly and quarterly sales with greater accuracy. The raw information is already cleaned and stored in CSV and a Postgres database; what I need now is someone who can turn that history into forward-looking insights.

You’ll have flexible hours—as long as reliable forecasts and clear, actionable summaries arrive on the agreed schedule. I’m comfortable with you working in Python (pandas, scikit-learn, Prophet) or R (tidyverse, caret, forecast); SQL proficiency is essential for grabbing the right slices of data yourself.

Deliverables
• A well-documented forecasting model (code + environment file)
• A brief report that explains the drivers influencing the projections and the confidence intervals for each period
• A short Loom or Zoom walkthrough so I can understand how to update or retrain the model on my own

Acceptance Criteria
• The model must outperform a naïve baseline (e.g., last-period sales) by a statistically significant margin on a held-out test set
• Forecasts cover the next 3, 6, and 12 months and include 95 % confidence bounds
• All notebooks/scripts run end-to-end on my machine without modification

If this sounds like a good fit, please tell me which forecasting libraries you prefer and share a quick example of a sales or demand model you’ve built.