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Built a SQL Data Analytics Portfolio focused on cleaning messy data, exploring business trends, and generating actionable insights using MySQL. Worked with real-world company layoffs data using CTEs, window functions, data cleaning, ranking, aggregation, and exploratory analysis.
Tools: MySQL, SQL
Skills: Data Cleaning, Data Analysis, Business Insights
The network for creativity
Join 1.25M professional creatives like you
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Creatives on Contra have earned over $150M and we are just getting started
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See exactly what’s driving revenue, where growth is leaking, and which products, channels, and customers deserve more investment.
I developed an e-commerce growth intelligence system around one question:
Where should the business invest next?
Most stores already have plenty of data. The harder problem is understanding what that data means for revenue, marketing spend, products, and customer growth.
So instead of building another dashboard full of charts, I’m structuring the system around decisions.
It brings together signals such as revenue, ROAS, CAC, conversion, product performance, repeat purchases, and retention to identify things like:
which channels deserve more budget, where acquisition is becoming inefficient, which products attract traffic but fail to convert, and where repeat customers are creating stronger value.
The goal isn’t just to answer:
“What happened?”
It’s to answer:
“What should we do next?”
Because the most useful analytics system isn’t the one with the most charts.
It’s the one that makes the next business decision clearer.
Tags: E-Commerce · Marketing Analytics · Data Analytics · Power BI · E-commerce Management
Marketing AnalyticsData AnalysisecommerceeCommerce ManagementMicrosoft ExcelMicrosoft Power BIShopify
Exactly. Analytics becomes much more valuable when it helps businesses make smarter decisions, not just track numbers.