Understand
Understand the business question and the data available.
Amazon Business Intelligence · Power BI
Turning Amazon Data Into Business Intelligence
I build Power BI reports that answer real Amazon questions — which niches are worth entering, where the revenue sits, and what survives after fees.
$3.6M
Revenue analysed
107K
Units reviewed
3
Live Power BI reports
4.47
Avg category rating
The Amazon analytics story
From raw marketplace export to a decision
Six stages every report in this portfolio moves through.
Transform
Prepare and structure marketplace exports for analysis.
Model
Create meaningful relationships and analytical measures.
Visualize
Build intuitive, readable Power BI dashboards.
Discover
Identify trends, opportunities and performance drivers.
Decide
Turn the analysis into an actionable recommendation.
Amazon Intelligence Lab
Interactive Amazon dashboards, built in Power BI
Each project links to a live, publicly published Power BI report.
Product feasibility · Market analysis
Amazon Product Market Analysis — Ultrasonic Jewelry Cleaners
A four-page report that evaluates ultrasonic jewellery cleaners as an Amazon opportunity, from category KPIs to a written feasibility verdict.
$3.6M
Total Monthly Revenue
107K
Total Units Sold
$32.5
Average Price
4.47
Average Rating
Interactive performance analytics
Solar Powered Snake Repellents — Performance Dashboard
A three-page interactive report built around four slicers so a viewer can filter the whole canvas by brand, product, price and star rating.
$1.18M
Monthly Revenue
21.91K
Monthly Units Sold
$39.67
Average Price
4.43
Average Rating
Competitive landscape · Feasibility
Amazon Corner Floor Lamps Dashboard
The most heavily filtered report in the set: seven slicers across a crowded category, with fee-adjusted net revenue and a written verdict.
50
Total Products
$24.014
Average Price
14.53K
Average Reviews
6.40
Average LQS
Capabilities
What the reports are built to answer
Sales Performance
Monthly revenue and units-sold measures analysed across products and brands.
Product Performance
Product-level views separating high performers from long-tail listings.
Pricing & Margin Analysis
Average price, Amazon fee impact and net revenue per unit compared across listings.
Category & Brand Analytics
Brand share and category comparison inside a single niche.
Rating & Review Analysis
Star rating and review volume used to read customer acceptance.
Executive Reporting
Every report closes with a written feasibility summary.
Toolset
The Intelligence Stack
01
Microsoft Power BI
Primary BI platform for every dashboard in this portfolio.
02
DAX
Measures behind KPI cards such as average price, rating and net revenue.
03
Power Query
Cleaning and shaping raw marketplace exports before analysis.
04
Data Modeling
Structuring Amazon product exports into analysable models.
05
Data Visualization
Bar, donut, treemap and card visuals chosen for readability.
06
Data Analysis
Comparing brands, price bands, ratings, BSR and fee impact.
About
Analyst first, dashboard builder second
I work at the intersection of e-commerce operations and business intelligence — translating Amazon marketplace data into decisions leaders can act on.
-
2026
Assistant Manager – E-Commerce & Community
Leading digital operations, customer experience and growth analytics.
-
2026
Business Intelligence Consultant
Designing executive Power BI dashboards and automated reporting systems.
-
2022
Digital Marketing Professional
Full-funnel campaigns and performance optimization across paid and organic.
-
2021
Customer Service Operations
Process improvement, CSAT optimization and team coordination.
-
2020
Campus President – Youth Parliament
Leadership, public speaking and large-scale event coordination.
-
2019
Brand Ambassador & Marketing Executive
Field activation, brand storytelling and engagement strategy.
Contact
Let’s turn your marketplace data into decisions
Available for Amazon analytics, Power BI reporting and BI consulting work.
LinkedInView profile
Websitemoomalzahid.com
BI portfoliobi.moomalzahid.com
LocationKarachi, Pakistan · Remote worldwide