Looker Delivery-Verified Partner
Google Cloud Premier Partner
Senior-Led. No Junior Relay.
Your Looker Environment, Continuously Optimised.
Looker doesn't run itself. LookML drifts, dashboards slow down, governance gaps open up, and new data sources need connecting. SquareShift acts as your senior Looker team — on retainer, in Slack, and always a message away.
4hr
Core SLA response time
Monthly
Proactive health checks
Zero
Ticketing queues — direct Slack access
Senior
Every client works with architects, not juniors
What You Get
Governance & Access Controls
RLS updates, user attributes, SSO, IAM
Monthly Looker Health Check
Developer & User Training
LookML bootcamp, business user enablement, Gemini training
Dashboard Performance Tuning
Slow tiles, query bottlenecks, PDT strategy
Proactive model, performance & security review
LookML Debugging & Model Maintenance
Broken explores, SQL errors, dimension drift — fixed fast
THE REALITY OF RUNNING LOOKER
What Happens Without Ongoing Support
A great Looker implementation gets you to go-live. What keeps it performing, trusted, and growing is what happens after.
Performance Degrades Over Time
As your data grows and more explores are added, query times increase, caching strategies fall out of date, and PDTs that once ran cleanly begin to slow dashboards. Without regular tuning, users lose confidence in the tool and revert to spreadsheets.
LookML Accumulates Technical Debt
New analysts add dimensions without following naming conventions. Quick fixes become permanent hacks. Views and explores that were built for a deprecated data source linger. Six months after go-live, nobody fully understands the model — and changes become risky.
Governance Gaps Create Risk
Staff changes mean new users who need access — or departed users whose access is never revoked. New data sources connect with no row-level security applied. Compliance requirements evolve but access control configurations don't. Security debt builds silently until it becomes a problem.
EVERYTHING YOU NEED
What's Included in Every Implementation
SquareShift's Looker implementation is a complete end-to-end engagement — not a partial setup that leaves your team to figure out the rest.
LookML Model Design & Development
Broken explores, SQL errors, dimension drift, join relationship issues, symmetric aggregation failures — we diagnose and fix LookML problems so your analysts aren't blocked. We also handle planned model evolution as your data stack grows.
Dashboard Performance Optimization
Slow tile times, heavy SQL at query time, missing caching strategy, overuse of runtime table calculations — we identify performance bottlenecks, tune caching with datagroups, implement PDT strategies, and optimize explore-level filters for faster load times across all dashboards.
Data Governance & Access Control Updates
Ongoing management of row-level security, column-level access, user attributes, and access grants. Staff changes, new data sources, and evolving compliance requirements all trigger governance updates — we handle them promptly before gaps become liabilities.
New Data Source Integrations
As your warehouse grows, new tables, schemas, and sources need to be modelled in LookML. We design and build new views and explores aligned with your existing semantic layer architecture — no shortcuts that create inconsistency with your existing model.
Cost & Query Optimisation
Unoptimised Looker queries can significantly inflate BigQuery or Snowflake bills. We review your most expensive queries, implement aggregate awareness, optimize derived table triggers, and ensure partitioning and clustering are being leveraged correctly at the explore level.
Embedded Analytics & API Support
Looker's API and extension framework require ongoing maintenance as business requirements change. We support embedded dashboard updates, signed URL configuration, customer-facing permission management, and custom extension development within your retainer.
Agentic BI & Gemini Feature Rollouts
As a Google Cloud Premier Partner, SquareShift has early access to Looker's Agentic BI roadmap. We help you activate and configure Conversational Analytics, Gemini-powered NLP querying, and Dashboard Agents — as these features become available in your environment.
Developer Co-Development & Code Review
Pair sessions with our senior Looker architects let your internal analysts level up while shipping real work. We review LookML pull requests, advise on architectural decisions, and run targeted co-development sessions covering the specific challenges your team is facing right now.
EVERYTHING YOU NEED
Choose Your Support Level
Three tiers designed around how actively you need Looker expertise on hand — from periodic oversight to a fully dedicated senior architect.
Pulse
For teams who need periodic expert oversight without a full-time support commitment.
Core
For active teams who need real-time expert access, SLA guarantees, and ongoing model development.
Elite
For enterprise environments requiring a dedicated architect, custom SLAs, and a strategic BI partner.
Monthly Looker health check report
Async Q&A via email (business hours)
LookML review & recommendations
Quarterly strategy review call
Dedicated Slack / Teams channel
Defined SLA response time
Co-development sessions
Dedicated senior architect
Monthly Looker health check report
Dedicated Slack or Teams channel
4-hour SLA response time (business hours)
LookML debugging & model maintenance
Dashboard performance optimization
Governance & access control updates
Monthly co-development session (2hrs)
Dedicated senior architect
Everything in Core, plus:
Named dedicated senior Looker architect
Custom SLA — including weekend & critical escalation
Unlimited co-development sessions
Quarterly strategic BI roadmap review
Agentic BI & Gemini feature activation
Priority access to new Looker capabilities
Custom terms, security & compliance review
All support is delivered by senior Looker architects — never junior staff. Contact us to discuss which tier fits your team size, activity level, and environment complexity.
PROACTIVE OVERSIGHT
What Your Monthly Looker Health Check Covers
Every support retainer includes a monthly health check — a structured review of your Looker instance across five dimensions. You receive a written findings report with prioritised recommendations, not just a status email.
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LookML Model Quality Review
Naming conventions, primary key definitions, join relationship accuracy, derived table strategy, explore structure — audited against current best practices and flagged for remediation before they cause downstream issues.
Dashboard Performance Audit
Slow-loading tiles, expensive queries running without caching, missing required filters on high-cardinality explores, and PDTs that are triggering unnecessarily — identified, root-caused, and prioritised for optimization.
Governance & Security Review
User access audit (active vs. stale accounts), row-level security coverage gaps, user attribute configurations, SSO and IAM alignment, and any access controls that haven't been updated to reflect recent team or data changes.
Content Usage Analysis
Dashboards and explores with no recent usage are flagged for archiving — reducing visual clutter, improving instance performance, and keeping your Looker environment clean and purposeful rather than a graveyard of stale reports.
Written Findings Report & Recommendations
Every health check concludes with a structured written report — findings ranked by severity, root cause notes, and a prioritised remediation plan. This doubles as a governance record and a roadmap for the next development cycle.
TO BUILD INTERNAL CAPABILITY
Looker Training Programs
SquareShift's training programs are built around your actual Looker environment — not generic slides. Every session is delivered on your data model, your dashboards, and your business questions.
LookML Developer Bootcamp
2-Day Intensive · Technical Team
A hands-on, two-day intensive for data engineers and analysts who need to own and extend your LookML model. Run directly on your production codebase — participants leave with real skills, not just theory. Available in-person or virtual.
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LookML project structure, Git integration & IDE workflow
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Views, explores, dimensions, measures & dimension groups
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Join relationships, fanout & symmetric aggregation
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Persistent derived tables (PDTs), datagroups & caching
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Row-level security, user attributes & access grants
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Performance best practices & SQL runner diagnostics
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Co-development session on your live LookML model
For: Data Engineers · BI Analysts · Looker Developers
Business User & Analyst Enablement
Half-Day Workshop · All Teams
A half-day onboarding workshop for business users, operations teams, and non-technical analysts. Delivered on your actual dashboards and explores so participants walk away ready to self-serve on day one — not still reading documentation.
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Looker interface navigation & terminology
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Exploring data, applying filters & drill paths
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Building, saving & scheduling Looks and dashboards
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Exporting, downloading & sharing reports
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Conversational Analytics & Gemini NLP querying
For: Business Analysts · Operations · Finance · Marketing Teams
Dashboard Builder Workshop
1-Day Workshop · Analysts
A focused one-day session for analysts who build and maintain Looker dashboards. Covers dashboard design best practices, performance considerations, drill structures, and how to build content that stays trusted over time without constant maintenance.
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Dashboard layout principles & tile organisation
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Performance-optimised tile & filter design
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Drill-down paths, cross-filter & linked dashboard patterns
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Scheduling, alerting & delivery configuration
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Content governance — naming, folders & certification workflow
For: Senior Analysts · Dashboard Owners · Team Leads
Agentic BI & Gemini Training
Half-Day Session · All Levels
Looker's Agentic BI capabilities are evolving rapidly. This session prepares your technical and non-technical teams to adopt Conversational Analytics, Gemini-powered NLP querying, and Dashboard Agents — and understand the governance considerations that make them safe to deploy broadly.
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Conversational Analytics overview & use cases
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NLP querying with Gemini — asking questions in plain language
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Dashboard Agent configuration & deployment
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LookML requirements for Agentic BI accuracy
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Governance considerations & hallucination prevention
For: Technical Teams · Business Leaders · Data Champions
SIMPLE BY DESIGN
How Support Works Day-to-Day
No ticketing portals. No relay to junior staff. No documentation links as answers. Just direct access to senior Looker architects who know your environment.
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Step
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Step
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04
Step
Connect
We set up a dedicated Slack or Microsoft Teams channel — usually the same day you sign on. Your team has direct access to a named senior Looker architect from day one.
Submit
Drop questions async or book a screen-share session. LookML code, SQL, dashboard screenshots, or a Loom video explaining the issue — share it however makes sense. We work around your team's rhythm, not the other way round.
Resolve
You get a real answer from a senior Looker architect — with LookML snippets, SQL, a short Loom walkthrough, or direct co-development. Never a link to the documentation page you already read.
Review
Every month, we proactively run your instance health check and share a written findings report. You stay ahead of problems rather than discovering them when a dashboard is already broken.
What Support Clients Say
"We had an internal Looker analyst who left mid-quarter. Rather than scramble to hire, we brought in SquareShift on a Core retainer. The Slack setup was done the same afternoon, and by the end of the week they had fixed three broken explores and optimised our two slowest dashboards. Having a senior architect a message away genuinely changed how our data team operates."
"The LookML Developer Bootcamp was one of the best investments we made after go-live. Our three analysts went through the two-day program on our actual production model. Six weeks later, they're building new explores independently and we've stopped relying on SquareShift for every change. That's exactly what we wanted — capability transfer, not dependency."


Vikram R, Head of Product, Series B SaaS Platform
Deepa P, VP Data Engineering, Enterprise eCommerce
GET STARTED
Ready to Build Your Looker Foundation?
Tell us about your Looker environment and team size. We'll recommend the right support tier and show you what ongoing SquareShift support looks like in practice — no commitment required.