Hire Data Analyst for Pet Care
Senior, direct, no layers

Pet-care businesses run on trust and diaries. Boarding, daycare and grooming fill unevenly — holiday peaks booked out months ahead, weekdays half empty — while no-shows, late pickups and vaccination records chased by phone eat the day. Owners hand over a family member, not a parcel, so a missed note about medication, feeding or behaviour is not an admin error; it is a breach of the trust the whole business rests on.

The businesses that grow are the ones that make booking easy, keep records any team member can trust, and stay in touch between visits. Report cards and photos, reminders before vaccinations lapse, rebooking prompts after a groom, and a retail shelf that sells what the pet actually needs — these are what turn a one-off stay into a regular customer, and they all depend on records that are current.

A data analyst turns the records you already hold into decisions: cleaning messy exports, joining them into one view, and reporting the few numbers that change what you do next. The deliverable is not a dashboard nobody opens; it is a short, regular report tied to a decision — what to stock, what to price, where to spend.

That is where this engagement fits: the work is scoped to one part of the operation first — bookings, intake records, rebooking or retail — proved at one site or one service, and only then extended. Nothing here depends on replacing the booking system your team already knows. Book a free discovery call and we will test the fit before any scope is agreed.

Analysis runs on exports from Gingr, MoeGo, or PetExec and the payments tool, cleaned and joined in spreadsheets or a business-intelligence tool the pet-care business 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 pet owners 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 pet-care business 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.