Experienced Full-Stack Developer Needed to Build a Custom E-commerce Analytics Dashboard

Experienced Full-Stack Developer Needed to Build a Custom E-commerce Analytics Dashboard PROJECT OVERVIEW I'm looking for an experienced full-stack developer to build a custom e-commerce analytics dashboard that consolidates data from multiple platforms into one central place. We operate multiple e-commerce stores and want to create a powerful internal analytics platform that gives us a complete overview of our business performance, advertising results, creative performance, and team KPIs. I already have access to an existing dashboard that I want to use as a reference and recreate as closely as possible. I can provide access to this dashboard, along with screenshots and screen recordings, so you can understand its functionality, design, and features. We also want to add custom functionality tailored to our business. This is a relatively urgent project, so I'm looking for someone experienced who can deliver a reliable, high-quality solution without compromising data accuracy or integration stability. MAIN REQUIREMENTS 1. MAIN DASHBOARD & BUSINESS OVERVIEW We need a central dashboard that provides an overview of our business performance across all stores. Key metrics include: - Total revenue across all stores - Revenue per individual store - Advertising spend - ROAS - Number of winning products and creatives - Profit and other important business KPIs - Comparisons across different time periods Users should be able to view consolidated data across all stores and filter results by individual store, date, and other relevant dimensions. 2. CREATIVE PERFORMANCE & TEAM ANALYTICS We want to track the performance of our advertising creatives and the team members responsible for researching and developing them. Key features include: - Creative win rates per creative strategist and team member - ROAS and other advertising performance metrics - Performance breakdowns by creative, campaign, ad set, and team member - Historical performance tracking - Identification of top-performing creatives and team members Most advertising performance data should be retrieved automatically from the Meta Marketing API. Some metrics, such as creative win rate, may require custom business logic or additional internal data. The developer should help determine the best way to implement these accurately. 3. ADVANCED ANALYTICS We want to go beyond basic reporting and build a platform that helps us make better business decisions. Potential features include: - Identifying the best-performing advertising angles - Analyzing patterns across winning creatives - Comparing performance across stores, products, and campaigns - Tracking trends and historical performance - Identifying opportunities to improve advertising efficiency We are open to recommendations for additional features that would provide meaningful value to our business. 4. PLATFORM INTEGRATIONS The dashboard should consolidate data from multiple platforms, including: - Shopify: Orders, revenue, products, and store performance - Meta Ads: Campaigns, ad sets, ads, spend, impressions, clicks, and ROAS-related metrics - Google Ads: Advertising spend, campaign performance, and other relevant metrics We may want to integrate additional platforms in the future. Reliable API integrations and accurate data are critical to this project. The system should handle API rate limits, pagination, synchronization, errors, and historical data wherever possible. It should also prevent duplicate records and discrepancies when combining data from multiple sources. 5. REFERENCE DASHBOARD RECREATION I have access to an existing dashboard that I want to use as the primary reference for this project. I can provide access so you can explore its functionality and understand how its different components work. The goal is to recreate its layout, features, and user experience as closely as possible, while adapting it to our own business, branding, data sources, and additional requirements. I will also provide screenshots and screen recordings to help clarify the expected result. Please let me know if you are comfortable analyzing an existing web application and