data-analytics

Reconcile and analyze seller fees from Amazon, eBay, Walmart, and Etsy with net revenue calculation, fee categorization, and optimization recommendations

Implement ASC 606 / IFRS 15 revenue recognition for subscriptions, bundles, and multi-element arrangements with deferred revenue tracking and journal entries

Track customer acquisition cost, lifetime value, payback period, and contribution margin by cohort and channel with profitability benchmarks and trend analysis

Understand which marketing channels drive purchases by implementing multi-touch attribution models across UTM-tracked campaigns and channels

Build P&L, balance sheet, and cash flow dashboards for ecommerce with drill-down by product, channel, and time period for management and investor reporting

Track product performance with sell-through rates, views-to-purchase conversion, dead stock identification, and category-level reporting

Analyze gross and net profit margins by product, category, channel, and customer segment with cost attribution, benchmarking, and trend visualization

Track and analyze marketing spend across all channels with ROAS calculation, diminishing returns analysis, and budget reallocation recommendations by platform

Forecast cash flow using historical sales patterns, payment terms, seasonal trends, and receivables modeling with scenario planning and runway tracking

Allocate COGS, shipping, marketing, and overhead costs across products, channels, and orders to calculate true per-unit and per-order profitability

Analyze customer behavior with RFM scoring, purchase frequency tracking, churn prediction, and cohort analysis to improve retention strategy

Build rolling operating budgets for marketing spend, inventory purchases, and operations with variance analysis, scenario modeling, and budget utilization alerts

Build a commerce data warehouse with star-schema tables, ETL pipelines, and dbt models for BigQuery, Snowflake, or Redshift analytics

Build interactive financial KPI dashboards with customizable metrics, drill-down analysis, variance explanations, and automated threshold-based alerting

Build executive dashboards showing revenue, average order value, conversion rates, and cohort analysis with drill-down by date and channel

Run controlled experiments on product pages, checkout flows, and pricing to find what converts best using statistical significance testing