Data & Analytics · Looker consulting

Looker consulting services — senior LookML expertise your team gets to keep

We build, refactor, and support Looker for companies that run on it: LookML architecture, embedded analytics, dashboards, and training. We work on your stack, document everything, and hand the knowledge back — no dependency, no black box.

30–60% BigQuery cost cut, on billing 40%+ faster dashboards Free 15-min read-only audit

The tension · 01

Looker is only as good as the LookML underneath it.

Most Looker problems are not Looker problems. They are modeling problems: Explores that grew without an owner, derived tables nobody dares to touch, dashboards rebuilt query by query because the model doesn't answer the question. The symptoms show up as slow dashboards and a growing BigQuery bill. The cause lives in the LookML.

01

Every new question becomes a ticket.

The model doesn't cover it, so an engineer writes custom SQL. Again.

02

Nobody fully trusts the numbers.

Two Explores, two answers. Metric definitions drift because governance was never modeled in.

03

Your senior engineers maintain dashboards.

That's expensive time spent on work a well-structured model would absorb.

What we do · 02

Full-spectrum Looker consulting, from model to enablement.

01

LookML development & refactoring

Views, Explores, and derived tables built on conventions that scale. We refactor legacy models without breaking existing content: Content Validator, dev-mode first, rollback plans.

02

Embedded analytics

White-label Looker inside your product: Embed SDK, SSO, theming, multi-tenant architecture. Your customers see your brand, not your BI tool.

03

Dashboards & self-service

Executive views, operational reporting, and Explores designed so business users answer their own questions instead of filing tickets.

04

API & SDK integrations

Custom automation on the Looker API (Python/TypeScript): data delivery, provisioning, workflow triggers, custom apps.

05

Training & enablement

Role-based sessions for end users, analysts, and LookML developers. Everything we build is documented and handed over — the goal is that you don't need us forever.

The method · 03

Four steps. Your stack, your Git flow, your conventions.

01

Free Looker audit

15 minutes, read-only. We look at your model, your most expensive queries, and your dashboard performance, and tell you what's worth fixing. If nothing is, we say so.

02

Scoped plan

One shared document: findings, priorities, timeline, and a fixed price. No open-ended engagements.

03

Build & refactor

We work in your repo, through your review process. Dev mode first, validated before production.

04

Handoff & enablement

Documentation, training, and a model your team can extend. Optional retainer if you want us to stay close.

Pricing · 04

What it costs — after you know what it recovers.

Our optimization work has cut client BigQuery bills 30–60%, measured on their own billing. On a $10,000/month bill, that range is $36,000–$72,000 a year in recovered spend — before counting the engineering hours a clean model gives back. The audit exists so you see your number before you spend anything.

Free Looker audit

Read-only health check. We name the recoverable cost. No findings, no charge.

$0 · 15 min

Looker audit (scoped)

Full LookML + performance review, prioritized action plan, 90-min walkthrough.

Fixed scope · 1 week

Fractional Looker expert

Senior expertise embedded in your team: development, optimization, support. Flexible scope.

Monthly retainer · flexible scope

Project work (migrations, embedded analytics, custom builds) is scoped after the audit — fixed price, defined deliverables.

The proof · 05

Measured work, not promises.

From our production engagements: 40%+ faster dashboards and 30%+ lower BigQuery cost after optimization; two enterprise BI environments consolidated into one cloud-core platform with little to no disruption for users.

FAQ · 06

What prospects usually ask before the first call.

How much does Looker consulting cost?

It depends on scope. The entry point is free: a 15-minute read-only audit of your Looker and BigQuery setup. From there you get a fixed-scope proposal sized to your environment — audit, LookML development, migrations, or embedded analytics. Book the free audit and we'll scope it, so you know the cost before we start.

How long does a typical engagement take?

Audits take one week. LookML development and refactoring projects typically run 4–12 weeks depending on model complexity. Many clients keep a fractional retainer after the initial project for new features and ongoing optimization. First measurable results usually land within 6 to 8 weeks.

Do you need access to our production Looker?

We need Developer or Admin access to analyze System Activity and LookML, but we always work in development mode first and follow your change-management process. Read-only access is enough for the free audit. We sign NDAs and adapt to your security requirements — your data never leaves your infrastructure.

Will you make us dependent on you?

The opposite is the goal. Everything we build is documented, versioned in your repo, and handed over with training. We measure success by whether your team can maintain and extend the work without us. If you want us to stay, that's a retainer — not a dependency.

Do you work with remote teams and US time zones?

Yes. Most engagements are fully remote, working in your Slack and your rituals. We overlap with US time zones by default and have run projects with teams in Europe and LATAM.

We're just getting started with Looker — is this for us?

Yes. Greenfield implementations are where good conventions cost the least. We set up the instance, the BigQuery connection, the core model, and the Git flow — then train your team so the platform grows in-house. Having Looker connected to BigQuery is enough to start the conversation.

What's included in the free Looker audit?

Fifteen minutes with read-only access. We identify Explores unused in the last 90 days, disproportionately expensive queries, slow dashboards, and LookML anti-patterns. The output is a concrete number: the estimated recoverable cost in your monthly BigQuery bill. No findings, no charge — and no obligation either way.

Let's talk · 08

Start with your number, not with a pitch.

A 15-minute read-only audit tells you what your Looker and BigQuery stack is actually costing you — and what's recoverable. If there's nothing there, we tell you that too.

Related services · 07

More ways we work on Looker and BigQuery.

Fix slow Looker dashboards

Performance optimization for Looker and the BigQuery bill behind it — measured against your baseline.

Cut BigQuery costs 30–60%

Partitioning, slot strategy, query tuning, and FinOps monitoring — measured on your own billing.

Migrate to Looker from Tableau or Power BI

Zero-downtime BI migrations: parallel run, validated data, trained team, fallback plan.