Dashboard Development for E-Commerce Performance Analysis

🌍 Remote, USA πŸ’Ή Full-time πŸ• Posted Recently

Job Description

Project Overview We receive comprehensive monthly performance data for our products (SKU-level & product group-level) and require professional dashboard solutions for visual processing and analysis of these data trends over time. Current Situation β€’Data Source: Monthly Excel exports with structured performance data β€’ Data Scope: Approx. 25+ metrics per product (ASIN/SKU level) β€’ Time Period: Multi-year historical data (from 2023) β€’ Granularity: Monthly data points Relevant Data Dimensions (Columns A through AA) Current raw data includes the following key metrics: β€’ Base Data: Month, Year, ASIN, SKU, Product Group, Title β€’ Financial Metrics: Margin per product, Revenue (gross/net/organic/advertising), Profit margin, Gross profit margin β€’ Sales Metrics: Units, Orders, Organic revenue share β€’ Marketing: PPC spend, T-ACoS, Revenue % organic vs. advertising β€’ Traffic: Sessions, Page views β€’ B2B Segment: Separate B2B metrics (Sessions, Revenue, Orders, Revenue share) ________________________________________ Project Requirements Phase 1: Excel Dashboard (Initial) Objective: Build a functional Excel dashboard for time series analysis Must-Have Features: β€’ Visualize temporal development of key metrics (line charts, trend analysis) β€’ Filter functions by: o Individual SKUs/ASINs o Product groups (aggregated view) o Time periods (flexible: month, quarter, year) β€’ Comparison capabilities: o Year-over-year comparisons (YoY) o Product comparisons o Product group performance β€’ Automated data refresh when importing new monthly data β€’ Clear dashboard layout with most important KPIs at a glance Nice-to-Have Features: β€’ Calculated metrics (e.g., conversion rate, average order value) β€’ Conditional formatting for performance alerts β€’ Pivot tables for flexible data exploration β€’ Export functions for reports Phase 2: Further Development & Tool Migration (Optional) After successful implementation of the Excel solution, there is the possibility for further development in professional BI tools such as: β€’ Power BI β€’ Tableau β€’ Google Looker Studio β€’ Or comparable solutions Apply tot his job

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