Most eCommerce teams are not short on data. They are short on someone who can look at that data and tell leadership what to do next. It is common for a growing brand to have GA4, a Shopify or platform-native reporting suite, an email platform's own dashboard, and an ad platform's numbers all running at once, none of which agree with each other, and no single person accountable for reconciling the story. That gap is usually a hiring problem, not a tooling problem.
The gap widens further once a brand sells beyond its own DTC site. A team running Amazon, Walmart, Target Plus, or a retailer.com storefront with Ulta Beauty, Chewy, CVS, Walgreens, Kroger, Home Depot, or Lowe's is managing a second, largely separate set of metrics and retail media platforms on top of everything happening on the owned site. Hiring managers who write one generic "analytics" job description for both worlds often end up disappointed, because DTC analytics and marketplace or retail media analytics reward genuinely different experience.
Before you write the job description, it helps to be precise about three separate things: which DTC metrics your business needs someone watching, which marketplace and retail media metrics apply if you sell through retailers, and what skill set turns those numbers into revenue instead of a slide nobody opens twice. Conflating these is how hiring managers end up with a dashboard builder when what they needed was someone who could move conversion rate, or an Amazon specialist when what they needed was someone fluent across five different retail media consoles.
The DTC and Owned-Site Metrics Worth Building a Role Around
Plenty of numbers show up in a standard eCommerce report. Only a handful of them actually change decisions. Here is the core set most growing brands should have someone directly accountable for on their own website, along with what each one is really telling you.
| Metric | What It Actually Tells You | Who Should Own It |
|---|---|---|
| Conversion Rate | How efficiently traffic turns into revenue, and where in the funnel it is leaking | CRO / Web Analytics Manager |
| Blended CAC | The true cost to acquire a customer across every channel, not just the cheapest one | Analytics Manager / Director |
| LTV to CAC Ratio | Whether growth spend is actually building a profitable business or just buying revenue | Director / VP of eCommerce |
| Marketing Efficiency Ratio (MER) | Total revenue against total ad spend, a cleaner read than platform-reported ROAS | Analytics Manager / Director |
| Repeat Purchase Rate | Whether the brand is building a customer base or just running a customer acquisition treadmill | Retention / CRM Manager |
| Revenue per Session | A blended read on traffic quality, merchandising, and conversion working together | CRO / Web Analytics Manager |
Notice that none of these are vanity metrics like raw traffic or social followers. They are the numbers that connect directly to margin, and they are exactly the numbers a hiring manager should ask a candidate to walk through in an interview, using a real example from their own reporting history.
Marketplace and Retailer.com Metrics: A Different Playbook
If your brand sells on Amazon, Walmart, Target Plus, or ships product through a retailer.com relationship with a chain like Ulta Beauty, Chewy, CVS, Walgreens, Kroger, Home Depot, or Lowe's, the metrics that matter shift meaningfully. Ranking, profitability, and ad efficiency on a marketplace depend on operational and advertising data working together, not just traffic and conversion the way they do on a DTC site.
| Metric | What It Actually Tells You | Where It Shows Up |
|---|---|---|
| TACoS | Total advertising cost of sales against all revenue, a truer read on ad efficiency than ad-attributed ACoS alone | Amazon, most marketplaces |
| ACoS / ROAS | Ad spend against ad-attributed sales for a specific campaign or keyword | Amazon Ads, Walmart Connect, Roundel |
| Buy Box Win Rate | The percentage of eligible sessions where your listing wins the default add-to-cart button, directly gating sales volume | Amazon, Walmart Marketplace |
| Unit Session Percentage | Marketplace-native conversion rate, units ordered divided by sessions on the listing | Amazon, most retailer.com sites |
| Inventory Performance Index (IPI) | How efficiently inventory is managed relative to sales velocity, which affects storage limits and fees | Amazon FBA |
| Share of Voice / Share of Shelf | How often your listing appears in top search results against competing products for the same keywords | Amazon, Walmart, most retail media platforms |
Retail media adds a further layer on top of this. Amazon Ads, Walmart Connect, Roundel by Target, Ulta Beauty Media, Chewy Ads, CVS Media Exchange, Walgreens Advertising Group, Kroger Precision Marketing, and networks from The Home Depot and Lowe's each run their own ad console, their own attribution window, and their own definition of an attributed sale. A brand advertising across even three or four of these networks at once needs someone who can normalize spend and return across platforms that were never designed to be compared to each other, similar to how MER solves that same problem for DTC paid media.
Why "Dashboard Builder" Undersells the Role
1. A Dashboard Is a Starting Point, Not a Deliverable
It is easy to find candidates who can build a clean GA4 or Looker Studio dashboard. It is harder to find someone who looks at that dashboard, notices conversion rate dropped 40 basis points on mobile checkout, and already has a hypothesis for why before anyone asks. The strongest hires treat the dashboard as the first step in a diagnosis, not the finished product.
2. Platform Fluency Alone Does Not Predict Business Impact
GA4 certification, Shopify reporting experience, and comfort in Looker or Tableau are genuinely necessary, but they are screening criteria, not differentiators. Two candidates can have identical tool stacks on their resume and produce wildly different outcomes, because the gap is usually in how they connect a metric to a specific, testable action rather than in which software they know.
3. The Best Hires Speak Two Languages: Data and the Business
The candidates who make the biggest difference can sit in a room with a founder or VP of eCommerce and translate a statistically significant A/B test result into a plain-English recommendation with a dollar impact attached. If a candidate cannot explain a past finding without falling back on jargon, that is often a sign they understood the tool but not the business it was measuring.
If the candidate's answer stops at describing the dashboard itself, rather than the decision it drove and the revenue or cost impact that followed, that is a meaningful signal. The strongest candidates answer this question with a number, not just a screenshot.
What to Screen For When Hiring
For most growing eCommerce and DTC brands, the ideal candidate for this role brings a mix of the following, roughly in order of how often we see it separate strong candidates from average ones:
- SQL fluency, not just BI tool fluency. Candidates who can pull their own data from a warehouse rather than waiting on engineering move faster and ask better questions.
- Experience owning a testing roadmap, not just running individual A/B tests someone else prioritized. Look for evidence they helped decide what to test and why.
- Attribution literacy. They should be able to explain, unprompted, why platform-reported ROAS and blended MER often disagree, and which one they trust for budget decisions.
- A track record of killing their own ideas. Someone who can point to a test that did not work, and explain what they learned instead of burying it, is usually more trustworthy than someone with a suspiciously perfect win rate.
- Communication built for non-technical stakeholders. The output of this role is a decision made by someone else, so the ability to simplify without losing accuracy matters as much as the analysis itself.
- Specific retail media platform experience, if you sell through marketplaces or retailer.com. Ask which consoles they have actually managed budget in, such as Amazon Ads, Walmart Connect, or Kroger Precision Marketing, rather than accepting "retail media" as a single interchangeable skill.
One more distinction worth making explicit in the job description: a candidate who is excellent at DTC web analytics is not automatically equipped to manage TACoS and Buy Box performance on Amazon, and the reverse is just as true. If your brand operates in both worlds, decide up front whether you are hiring one person to cover both, which works best when marketplace revenue is still a smaller share of the business, or two specialists who each own their channel deeply.
A dashboard nobody acts on is a cost center. A dashboard that changes next quarter's budget is one of the highest-leverage hires an eCommerce team can make.
Putting It Together
Whether this role sits with a generalist eCommerce Manager, a dedicated Analytics or CRO Manager, or splits across two hires usually comes down to revenue complexity rather than headcount, and our breakdown of Manager vs. Director vs. VP is a useful next read if you are still working out where this responsibility should sit on your org chart. If your team already leans on outside partners for reporting or media buying, our post on the eCommerce agency stack covers how an internal analytics owner keeps every agency accountable to the same number.
And if growth has plateaued and you are not sure whether the gap is a strategy problem or a measurement problem, our post on the signs you need a VP of eCommerce walks through how to tell the difference. If you would rather just talk through your specific hiring need, reach out directly.