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WG
Webstore Group
Data Engineer / Analyst - E-Commerce Data, Forecasting & Logistics
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Based on Florida data
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What they do
An E-Commerce Analyst analyzes businesses, design electronic commerce marketing plans; provides expertise with search engine optimization, social media marketing, branding and product promotion. May advise business clients with the process of moving to online business practices.
$56,584 / year median in Florida
-3% projected decline
Job Description
Data Engineer / Analyst - E-Commerce Data, Forecasting & Logistics Webstore Group - 4.2 Sunrise, FL Job Details Full-time $125,000 - $165,000 a year 3 hours ago Benefits Health insurance Dental insurance 401(k) Paid time off Employee assistance program Vision insurance 401(k) matching Employee discount Retirement plan Qualifications Logistics E-commerce SQL Freight Python Full Job Description About us We're a high-volume e-commerce importer running 15+ sales channels and multi-warehouse fulfillment across Georgia and California. Our data lives in a dozen places and none of them agree. We're bringing reporting in-house and need someone to own it end to end. What you'll do Build the pipelines — write ETL that pulls from marketplace, advertising, carrier, and Shopify APIs, plus the messy vendor files that don't have an API, and land it somewhere clean and queryable PPC bidding models — turn ad and sales data into bid recommendations that maximize contribution margin against operating overhead Demand planning and ordering tools — forecasting and reorder logic driving what we buy and where we send it Freight cost auditing — reconcile carrier invoices against our shipment data to catch billing errors, find rate and service-level savings, and flag patterns worth renegotiating Find the story in the data — this isn't a ticket-taking role. When the numbers move, we want you to dig in, figure out why, and bring us the takeaway and the recommendation, not just the chart What we're looking for Strong SQL and Python Experience building ETL pipelines against REST APIs — pagination, rate limits, auth, schema changes, backfills Analyst instincts: you're curious about the business, you question numbers that look wrong, and you can explain a finding to a non-technical owner in plain language Comfortable taking a vague problem and turning it into a working tool. Comfortable shipping internal tools end to end, not just pipelines