Description review

E-Commerce Marketplace & Sales Analyst

Adaptive Teams · Philippines · back to the listing

HR standards

73/100

solid

Title ↔ description

68/100

needs work

Reads as

Data Analyst

82% confident

What this role officially is

data analyst — ESCO, the EU occupation classification

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.

Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst

How others title the same work

Large employers

  • Operations Insights, Tax Stripe

Startups

  • Senior Data Analyst Camber
  • Senior Data Analyst Confido

What the listing never says

  • 16 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Turn sales data into action—and keep products performing across every major e-commerce channel.

We’re looking for an analytical, detail-driven e-commerce specialist to own sales reporting and product listing management across 1P, 3P, social commerce, and DTC channels.

Location:Philippines - Fully Remote

Your Mission: Day to Day Responsibilities

• Analyze sales performance and prepare regular sales reports and dashboards.

• Track revenue, units, trends, product performance, and channel performance.

• Manage and optimize product listings across Walmart, Target, JCPenney, Kohl’s, TikTok Shop, Meta, Google, DTC, and other e-commerce accounts.

• Maintain accurate product titles, descriptions, images, attributes, pricing, and other listing content.

• Support both 1P and 3P marketplace operations.

• Identify listing errors, suppressed products, missing content, and other issues impacting sales.

• Monitor performance and highlight opportunities, risks, and trends.

• Coordinate with sales, marketing, creative, and operations teams to keep product information accurate and current.

Your Toolbox: Skills to be Successful

• Experience managing e-commerce marketplaces or retailer portals.

• Strong sales reporting and data-analysis skills.

• Advanced Excel or Google Sheets skills.

• Understanding of 1P, 3P, social commerce, and DTC business models.

• Experience with major retail marketplaces and product listing management.

• Ability to turn raw sales data into clear, actionable insights.

• Strong attention to detail and confidence working with large product catalogs.

• Experience with BI, ERP, marketplace, or reporting tools is a plus.

Why Adaptive Teams?
At Adaptive Teams, we don’t just fill positions – we create pathways to success. Whether you’re a seasoned pro or just starting out, we’re here to help you grow, innovate, and make an impact. If you’re looking for exciting opportunities and, a team that’s as passionate as you are, this is the place to be.

What to Expect from Our Application Process?
Once you apply, you’ll receive an email guiding you through the next steps, including an assessment tailored to the role.

After that, we’ll ask you a few brief questions about your experiences and work style—this is your opportunity to showcase what makes you unique and how you approach challenges. Be sure to check your inbox (and your spam folder, just in case) for further instructions.

We understand your time is valuable, so we strive to keep the assessments under 45 minutes whenever possible, though some roles may require a slightly longer time investment.

Once selected, you’ll have the chance to schedule an interview with our team. We aim to make the process as smooth and transparent as possible, so you’ll always know where you stand.

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 8 points (from 81 before penalties). Reviewed 21 Sep 2026.