Financial/Data Analyst (for E-Commerce Brand)

Pomelo pomelohq.com Open · verified Oct 24, 2026

Remote Worldwide Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Pomelo. Remote · full-time.

Pay not stated Data Analysis & BI salary

RoleData Analysis & BI

SeniorityMid-level

LocationWorldwide

WorkplaceRemote

EmploymentFull-time

Role brief

remoteroles summary, based on the employer's posting.

What you'll do

Build financial models for P&L, cash flow, unit economics and cohorts to inform business choices
Analyze sales, marketing and customer data to spot growth drivers, churn concerns and potential savings
Dig into CAC, LTV and contribution margin across sales channels and individual SKUs
Create dashboards for product, channel and customer profitability, then explain findings to leadership
Compare actual results with budgets and forecasts, support reporting, and help teams improve processes

What you bring

A relevant bachelor’s degree and at least three years using Excel or Google Sheets and SQL
Substantial experience with e-commerce sales platforms such as Shopify, Amazon or another listed platform
Professional English fluency across writing, reading and speaking, plus a reliable computer and fast internet

Who this fits

This remote role suits a detail-focused analyst who can explain their calculations clearly and present findings to leadership. You must be available during US time-zone hours, Monday through Friday, for eight hours a day; prior overnight-shift experience is also required.

From the employer

About Us

Pomelo places the best offshore talent with top brands, startups, and agencies across the globe. We enable hard-working and ambitious talent to work remotely from their home countries, while gaining exposure into how the world’s top companies operate.

About the Role

We are seeking a highly analytical and detail-oriented Financial/Data Analyst to join our client, an e-commerce food brand. In this role, you will provide insights that drive profitability, growth, and operational efficiency. You will analyze performance metrics, optimize pricing and promotions, track unit economics, and build dashboards to guide decision-making at both strategic and tactical levels. We strongly value attention to detail, data cleanliness, ability to show and explain mathematical work, and clear communication.

Responsibilities

Build and maintain financial models (P&L, cash flow, unit economics, and cohort analysis) to support business decisions
Analyze sales, marketing, and customer data to identify growth drivers, churn risks, and cost-saving opportunities
Conduct deep dives into metrics like acquisition costs (CAC), lifetime value (LTV), and contribution margin by sales channel and SKU
Evaluate new product launches and go-to-market strategies from a financial and data-driven perspective
Develop dashboards and KPIs to monitor product, channel, and customer-level profitability
Conduct variance analysis against budget, forecast, and actual performance
Support monthly/quarterly reporting for leadership and investors
Present data and findings to company leadership in a clear and concise manner
Collaborate with internal teams to create SOPs and improve existing processes
Perform ad hoc administrative, business operations, and special projects tasks as needed

Qualifications

Bachelor’s degree in a relevant field
3+ years of experience with Excel/Google Sheets and SQL; experience with BI tools (Tableau, Looker, Power BI, or similar)
Deep experience with e-commerce sales platforms like Shopify, Amazon, ERPs, and similar
Prior experience in financial analysis, data analytics, or business intelligence (preferably in e-commerce, CPG, or food industry) is a plus
Professional fluency in English with excellent written, reading, and speaking skills
Access to a laptop/desktop with reliable and fast Internet connection
Ability to work in a US time zone, Monday to Friday (8 hours per day)
Previous experience working the overnight shift

Benefits