Data Warehouseservices for ecommerce.
BigQuery · Snowflake pipelines for ecommerce.
BigQuery · Snowflake pipelines for ecommerce. Our data warehouse services are built for ecommerce teams outgrowing their current stack, ops or fulfilment model — diagnostic in weeks 1–2, migration or rebuild inside 90 days, senior operators only, reporting tied to platform TCO, time-to-ship and operational NPS.
Your platform & ops isn't a cost line, it's a growth engine.
Ecommerce teams bring us in on data warehouse when the pattern is familiar: a platform, ops or data layer that's the ceiling on growth. We start with warehouse setup, move into elt pipelines, then run modelled marts against a scoreboard the whole team can see. The target is single source of truth — and faster analytics that keeps compounding after we hand the data warehouse playbook back to your team.
Looking for data warehouse services that actually move ecommerce revenue? We're an independent ecommerce consultancy running data warehouse for DTC brands, marketplace sellers, and B2B operators worldwide. Every data warehouse engagement is led by a senior operator — not a junior account manager — and shipped against a platform TCO, time-to-ship and operational NPS-based scorecard. Below: what's included, how it works, pricing, and the questions brands ask before hiring us.
A data warehouse partner you can trust.
average ROAS lift within the first 90 days of a data warehouse engagement.
faster time-to-launch versus hiring, onboarding and training in-house.
of engagements delivered on or ahead of the roadmap we commit to.
Ship faster, scale smarter, convert more.
Our senior operators bring strategy, execution and reporting together — no hand-offs, no junior AMs, no throw-it-over-the-wall.
One team. One roadmap. Weekly build cycles you can actually plan around, with a transparent build log your CFO can read.
Data Warehouse, ready to scale.
Whether you're optimizing an existing account or launching something new, we give you everything you need to move forward with confidence and drive measurable business results.
Warehouse setup
Diagnostic in weeks 1–2, migration or rebuild inside 90 days — no six-month discovery phase, no "trust the process" runway.
ELT pipelines
The person on the intro call is the person in the account on day 30. Zero offshoring, zero bait-and-switch.
Modelled marts
Every data warehouse deliverable is measured against platform TCO, time-to-ship and operational NPS — the metrics your CFO already tracks.
BI dashboards
Faster analytics — documented, handed over, and running long after we're out.
Governance + docs
Diagnostic in weeks 1–2, migration or rebuild inside 90 days — no six-month discovery phase, no "trust the process" runway.
Ecommerce systems that scale across markets, channels and segments.
Faster time-to-value on data warehouse
Diagnostic in weeks 1–2, migration or rebuild inside 90 days — no six-month discovery phase, no "trust the process" runway.
Senior data warehouse operator, end to end
The person on the intro call is the person in the account on day 30. Zero offshoring, zero bait-and-switch.
Reporting tied to your P&L
Every data warehouse deliverable is measured against platform TCO, time-to-ship and operational NPS — the metrics your CFO already tracks.
Playbook you keep
Faster analytics — documented, handed over, and running long after we're out.
Data Warehouse workflow, minus the friction.
No creative guesswork or unnecessary complexity. Just a proven system for scalable, brand-aligned data warehouse.
- 1
Diagnose
Working session, data pull and an honest audit. We map the gap between where the account is and where it should be.
- 2
Plan
A prioritised 90-day roadmap with owners, forecasts and the specific bets we'll run first.
- 3
Ship
Weekly build cycles. Senior operators in the account — not a junior AM behind a dashboard.
- 4
Compound
Monthly business review, quarterly strategy reset. We keep pushing the growth curve up-and-to-the-right.
How Meridian turned data warehouse into a growth engine.
A senior operator team took ownership of data warehouse end-to-end — diagnosis, plan, weekly build, monthly business review — and moved the number inside a single quarter.
"They plugged in like a senior in-house team from week one. Data Warehouse stopped being a monthly stress and started being the reason our quarter worked."
Why teams pick us for data warehouse.
| Capability | Ecommerce Consultant | Traditional agency | Freelancer | In-house hire |
|---|---|---|---|---|
| Senior operator on the account | ||||
| Weekly ship cadence | ||||
| Tied to your P&L | ||||
| Live in under 30 days | ||||
| Cross-channel pattern recognition | ||||
| No junior AM handoffs |
Three ways to run data warehouse with us.
Pick the shape that matches your quarter. Every engagement starts with the same 30-minute strategy call — no pitch deck, no junior AM.
One question, one deliverable — audit, teardown or launch plan.
- Working session kickoff
- Written deliverable
- Handoff call
Operator team embedded in the account. Weekly build, monthly review.
- Dedicated senior lead
- Weekly ship cadence
- MBR + roadmap
You have the team — we bring the pattern recognition and executive lens.
- Fractional strategy lead
- Bi-weekly working sessions
- Board-ready reporting
Now imagine this operator team behind your next quarter.
Data Warehouse is one of many services we run for growing ecommerce brands. What you do with it is up to you — let's chat.
Frequently asked questions.
What is Data Warehouse in ecommerce, and what does the service include?+
Data Warehouse is a services engagement inside our Platform & Ops practice, focused on bigquery · snowflake pipelines for ecommerce. Every data warehouse engagement ships 5 concrete deliverables: Warehouse setup; ELT pipelines; Modelled marts; BI dashboards; Governance + docs. Everything lives in a shared workspace with a weekly build log, so you see progress in real time rather than waiting for a monthly slide deck.
Which ecommerce brands are data warehouse services the right fit for?+
Our data warehouse service is designed for ecommerce teams outgrowing their current stack, ops or fulfilment model. If the problem sounds like "a platform, ops or data layer that's the ceiling on growth", this engagement is built for it. If you're pre-product-market-fit or under ~$1M in trailing revenue, we'll usually point you to a lighter Sprint or a Diagnostic instead of a full data warehouse retainer.
How much does data warehouse cost, and what are the pricing tiers?+
Three engagement shapes for data warehouse: Sprint (fixed scope, 4–6 weeks — best for a one-question data warehouse audit), Partner (quarterly retainer with weekly ship cadence — the most common shape for data warehouse), and Advisory (fractional, 6 or 12 months). Nothing performance-based — we've seen that misalign incentives every time. Exact pricing depends on scope; you get a written proposal after the intro call.
How long until we see results from data warehouse?+
Diagnostic in weeks 1–2, migration or rebuild inside 90 days. Our target is single source of truth inside the first quarter of the data warehouse engagement, and faster analytics that stays with your team afterwards.
What are the main benefits of hiring a data warehouse agency vs. building in-house?+
Speed and pattern recognition. A dedicated data warehouse agency has run the same play across dozens of ecommerce brands, so you skip the 6–12 months of trial-and-error an in-house hire would need. You also avoid fixed headcount cost: the engagement flexes up during launches and down between them.
Who actually runs the data warehouse work, and how is it reported?+
A senior operator owns the data warehouse account end-to-end. No junior AM behind a dashboard, no offshoring. Reporting is tied to platform TCO, time-to-ship and operational NPS. Every week we publish a build log with what shipped, what the data said, and the next bet. Every month we run a business review against forecast — no vanity metrics, no cherry-picked screenshots.
Still have questions? Ask a senior operator.
Insights on data warehouse.
- 12 min readThe 90-day ecommerce diagnostic we run for every new clientHow we tear down a brand's P&L, channel mix, and tech stack in two weeks — and turn it into a written 90-day plan.Read→
- 8 min readWhen to leave Shopify (and when to absolutely not)The signals that actually justify going headless — and the ones that just cost you a year of roadmap.Read→
- 9 min readBeyond ROAS: an incrementality-first Meta setupWhy last-click ROAS is quietly bankrupting DTC brands, and the incrementality tests we run first.Read→
Let's map data warehouse to your P&L.
30 minutes with a senior operator. No pitch deck, no junior AM. Just an honest read on whether this is the highest-leverage move for your next quarter.
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