Hire Data Analyst for Cleaning Services
Senior, direct, no layers
Data Analyst for cleaning services: practical, senior-only delivery built around recurring home cleans, deep cleans, end-of-tenancy cleans, office contracts and holiday-let turnovers, with direct communication throughout.
A senior data analyst for cleaning services
Cleaning firms live or die on reliability, and reliability is hard to see from a billing total. A route can look full while its cleaners spend half the day travelling between scattered jobs, a team can look productive while its sites generate the most complaints, and a client list can look stable while one site type quietly churns and another quietly grows. The business average hides all of that, because a dense route and a scattered route average into a reassuring utilisation figure.
The analyst work splits the business by route, site type and team before anything else is counted. Jobs are grouped by route with travel time shown beside cleaning time, so a scattered route is visible as a route problem, not a cleaner problem. Clients are split by site type for churn, consumables are allocated by job type, and complaints and recleans are counted by site and team, so a training problem is separated from a site that is genuinely difficult.
With that split, the firm can redesign routes around density, fix rotas where overtime is really a route failure, and aim quality effort at the sites and teams that generate recleans. Book a free discovery call to check whether your rota, route and complaint records can support a route-by-route view before scoping the work.
What this engagement covers for cleaning services
- Route density and travel time — Jobs are grouped by route and area, with travel time shown beside cleaning time, so a route that looks full but spends half its day travelling is visible.
- Cleaner utilisation and overtime — Contracted, worked and overtime hours are compared by cleaner and by team, exposing overtime that is really a rota or route failure.
- Client churn by site type — Clients lost and clients gained are split by site type, from offices to homes, so churn in one site type is not averaged away.
- Consumables cost per job type — Chemicals, equipment wear and consumables are allocated by job type, so a job that looks profitable before consumables is judged honestly.
- Complaint and reclean rate — Complaints and recleans are counted by site, team and job type, separating a training problem from a site that is genuinely hard to clean.
- Scheduling gaps and missed visits — Scheduled visits, completed visits and missed visits are shown by route, so a missed visit is counted as a service failure rather than as a quiet day.
Built to fit the tools cleaning services firms already use
Cleaning businesses typically run a scheduling or rota system, a billing or invoicing tool, and complaint records that may live in email, messages or a logbook. The engagement reads exports from those sources, and the job or visit identifier is agreed before any route figure is produced, because a rota entry, a completed visit and an invoice are only the same job if the business can say how they are linked.
Travel time needs a stated method: where GPS or route records exist they are used, and where they do not, travel is estimated from job addresses and sequence and labelled as estimated. A travel figure is never presented as measured when it was estimated.
From kickoff to delivery for cleaning services
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Split the business by route and site type
Jobs, clients and complaints are grouped by route and site type before any company average is produced.
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Put travel beside cleaning time
Each route is judged on cleaning time and travel time together, so a scattered route cannot hide behind a full diary.
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Attach consumables and complaints to jobs
Consumables are allocated by job type, and complaints and recleans are counted by site and team.
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Agree the route and rota actions
The report ends with route, rota and quality actions, plus the cleaned job file for the next quarter.
What good looks like
A cleaning business that completes this work should be able to say, for each route, how much time was cleaning and how much was travelling, for each site type, whether clients are being gained or lost, and for each team, where complaints and recleans concentrate. Consumables become a cost per job type rather than a bulk purchase line.
The work cannot make a scattered route dense or stop a site being hard to clean. It can show which routes, site types and teams create the cost and the churn, so management effort goes to the routes and sites where it changes the result.
Why hire Omer
- Routes judged on density: A route is judged on cleaning time against travel time, which exposes scattered routes a full diary hides.
- Overtime read as a route signal: Overtime is compared with route and rota gaps, so a rota failure is not simply paid for and repeated.
- Churn split by site type: Client loss is shown per site type, so churn in offices is never averaged away by growth in homes.
- Complaints traced to site or team: A reclean is counted by site and team, which separates a training problem from a difficult site.
- Travel stated as measured or estimated: Where travel time is estimated rather than recorded, the report says so, so a route figure is never more precise than its source.
Questions, answered
What data do you need?
Our records are messy. Can you still help?
Will we get a dashboard?
How is this different from our system's own reports?
Can you predict next season?
Ready to get started?
The best way to explore working together is a quick conversation. Reach out through your preferred channel and let us discuss your project.
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