Sales Data Cleaning & Insights - 29/07/2026 06:42 EDT
Publicada el 2026-07-29
Descripción de la oferta
I have a technology-sector sales dataset that first needs to be made analysis-ready, then explored for product-performance insights. The workflow I have in mind is straightforward: Data preparation – Remove duplicates – Handle missing values – Standardise dates, currencies, and any other inconsistent formats Analysis & visuals Using Python (Pandas, NumPy, Matplotlib/Seaborn) or Excel where it makes sense, drill into product performance and surface the metrics that truly matter—sales volume, revenue, margins, and any patterns that jump out. I’m happy to connect the raw tables to a local SQL instance if SQL querying will speed things up. Dashboard Once the story is clear, translate it into an interactive Power BI report. I’d like a clean layout with slicers for product line, region, and timeframe so decision-makers can explore the findings on their own. Deliverables • Cleaned sales dataset (CSV or XLSX) • Well-commented Python scripts / notebooks • .pbix dashboard file with all visuals and data model baked in I’ll provide the raw files and any field descriptions as soon as we kick off. Let me know how quickly you can turn the first cleaning pass around and if there are extra data points you’ll need to capture the best product-level story possible.
Skills
Fuente original: freelancer