Role Overview
Clients don’t hire you just to “pull reports”—they hire you to make sense of what the numbers *mean* for their business. Your role is to surface relevant data, interpret indicators like sell-through rates, ad efficiency, inventory velocity, and show the client where action is needed. Pattern recognition, decision support, and clear reporting are your core deliverables. If you don’t connect performance data to operational or strategic implications, the client is flying blind—and it’s your job to help them chart the course.
This is not a “data entry” role. It’s not about dumping sheets into dashboards or overloading the client with color-coded charts. It’s about precision, clarity, and relevance. The stakes are high: reporting done right helps avoid stockouts, overspend, and margin slip. Done poorly, it skews decisions, wastes budget, and hides urgent problems. True value comes from accuracy, context, and showing the client what actually matters—when it matters.
Standards You Must Meet
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You surface the right numbers at the right time — weekly and monthly insights must clarify what’s working, what’s not, and what needs attention.
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Reporting is clean, accurate, and decision-ready — sloppy sheets, delayed updates, or mismatched figures erode client trust fast.
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You connect data to impact — clients expect clear calls on margin risk, sales drivers, and inventory strain, not just trend lines.
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Patterns must be flagged early — if a product is decelerating or ads are burning budget, the client should hear it from you first.
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Dashboards and reports are useful, not bloated — you filter noise and highlight what matters for growth and risk management.
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Your numbers support decisions — if leadership has to decode the report to act on it, the work isn’t finished.
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All reporting is prompt and consistent — clients must never chase you to understand yesterday’s performance.
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Communication is proactive — if a data shift points to trouble ahead, you raise the flag before it hits the P&L.
What You’ll Be Doing
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Build and deliver weekly and monthly reports that isolate trends, highlight risks, and support fast, confident decisions.
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Monitor product performance daily to catch early signs of sales drops, inventory pileups, or inefficient ad spend.
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Track key metrics like TACoS, ROI, and sell-through to surface actions that protect margin and unlock growth.
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Maintain clean, accurate data sources that update on time and align with each client’s reporting priorities.
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Identify and flag underperformance, mismatches, or anomalies in listings, ads, and inventory signals — before clients ask.
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Simplify dashboards to spotlight what matters most; eliminate noise, delays, or bloated visuals that confuse.
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Use automation tools where possible to streamline data pulls, report updates, and dashboard syncing.
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Communicate early and clearly when your data shows problems brewing — or opens a path to scale.
What You’ll Hand Over
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Clean, decision-ready weekly and monthly reports that highlight key trends, risks, and growth opportunities.
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A live dashboard tracking ASIN-level sales, ad spend, margin shifts, and inventory health in real time.
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A flagged summary of priority action items based on current data shifts, complete with recommended next steps.
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Anomalies report detailing any data mismatches, ad inefficiencies, or inventory concerns needing urgent attention.
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A simplified performance brief before major reviews — built for clarity, confidence, and quick business decisions.
Tools You’ll Need to Use
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Microsoft Excel — Core tool for organizing, analyzing, and presenting high-volume sales and performance data.
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Amazon Seller Central Reports — Primary source of business intelligence for ASIN performance, sales trends, and inventory health.
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Helium 10 (Analytics Suite) — Essential for extracting keyword metrics, competitor benchmarks, and product performance insights.
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Google Sheets — Used for collaborative reporting, real-time data tracking, and dashboard management with internal and client teams.
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Power BI or Tableau — Required for building and visualizing structured performance dashboards for clearer client decision-making.
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Looker Studio (formerly Data Studio) — Useful for creating dynamic, shareable reports with integrated data sources.
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GS1 Data Hub — Needed for verifying UPCs and ensuring product data compliance across Amazon marketplaces.
Why Work Smarter
As a Data Analysis & Reporting Expert, you’re expected to not just handle data, but to improve how it’s collected, processed, and reported. If you can’t automate recurring tasks — like pulling reports, updating dashboards, or syncing sales data — the client is overpaying for manual work that software can now handle. This isn’t optional much longer.
OES does not require full automation skills on day one, but we do treat automation fluency as an emerging baseline — not a bonus. The market is moving fast, and we set standards to match it. Start learning.
Why Your Work Matters
Every Amazon brand lives or dies by how fast it spots what’s working—and what’s about to break. Right now, clients depend on data to guide ad spend, forecast inventory, protect margins, and plan growth. If that data is late, sloppy, or unlabeled, decisions go wrong fast: cash burns, SKUs tank, and trust erodes. Strong reporting isn’t a nice-to-have—it’s what makes sure the business keeps moving forward without blowing up profits along the way.
At OES, this role sits at the center of client control. You’re not a background operator—you are a frontline signal caller. When you catch a declining ASIN early, flag ad waste before the budget’s gone, or spotlight rising margins that can be scaled, you directly impact the P&L. Clients expect judgment, not just numbers. If you deliver clean, decision-ready reporting with clear insight, you become a strategic asset they rely on—and that’s exactly what this role is here to do.
What We Expect From You
As a Specialist Data Analysis & Reporting Expert in Amazon + Private Label, you are expected to not just process data, but interpret and translate it into strategic action. You are a clear thinker who understands that accurate reporting is not just a task—it’s a form of risk management, profitability control, and business diagnosis. We’re looking for someone who instinctively questions anomalies, builds reliable dashboards, and connects the dots between operations, ads, inventory, and revenue. You don’t just follow reporting protocols, you actively build systems that support business decisions and client trust. At this level, your judgment must be backed by discipline, not guesses.
You are the team’s source of analytical clarity—when operations get noisy, you cut through with grounded, numbers-first insights. You’re accountable for the integrity of reporting sent to clients, and we expect you to show ownership over the data you produce and the implications that follow. Weak interpretation can fuel missteps; your job is to prevent that. You should already understand how FBA metrics, profit margins, TACoS, and product performance intersect—and where reporting can quietly make or break strategy. This is a data role, but it’s treated as a decision-support role, and OES will hold you to that standard.
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$615 – $1,575
OES salary standards reflect real market benchmarks, tier and experience level, ensuring fair pay for VAs and realistic expectations for clients.
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