Hire Data Analyst for Plumbing
Senior, direct, no layers

Plumbing is a phone-first business, and the phone is busiest exactly when the company is least able to answer it: a burst pipe at night, a backed-up sewer on a holiday weekend, a water heater that quit on a Monday morning. Calls get missed, dispatch becomes a whiteboard and a group chat, and the day's schedule is rebuilt by hand every time an emergency jumps the queue. Flat-rate pricing lives in a printed book, truck stock is guesswork, and the review request that should follow every completed job is forgotten more often than it is sent. The work itself is excellent; the system around it is held together by memory and overtime.

That is where a data analyst earns their keep for a plumbing company. The business already generates the data: bookings, completion times, callbacks, estimate close rates, review scores, and where each lead came from. An analyst turns that into answers the owner can use — which services make money, which technicians get callbacks, which marketing actually books jobs — instead of reports nobody opens. Book a free discovery call and we will test the fit before any scope is agreed. Browse the full hire hub for related engagements.

Analysis runs on exports from Housecall Pro, Jobber, or ServiceTitan and the payments tool, cleaned and joined in spreadsheets or a business-intelligence tool the plumbing company already pays for, such as Looker Studio or Power BI. The choice is driven by who will open the dashboard: a beautiful tool the owner never opens is the wrong tool, however powerful.

Every figure is traceable to its source records, and the cleaning steps are documented so a number can be reproduced. Where a figure cannot be trusted — too few records, inconsistent naming — it is labelled as unreliable or left out, with the reason stated, rather than presented as precise.

Done well, the owner stops deciding from impressions: quiet weeks are visible before they arrive, the services that earn their slots are known, and promotions go to the homeowners and property managers groups most likely to return. The measure is decisions changed — a rota, a price, a promotion — not charts produced.

The limit is record quality and history length. A plumbing company with a few months of patchy data gets descriptive reports, not forecasts, and any analysis that claims certainty from thin data is guessing with formatting. The audit says plainly what the data can and cannot support.

The common failure is a dashboard that answers questions nobody asked, so it is admired once and never opened again. If a figure does not change a decision — a rota, a price, a promotion — it should be removed, and the dashboard should stay small enough that the owner can read it in minutes.