Hire Data Analyst for Solar Companies
Senior, direct, no layers
Data Analyst for solar companies: fewer redesigns, fewer install-day surprises, and customers who always know what happens next.
A senior data analyst for solar companies
A solar business loses money in the gaps between its systems. A lead can be strong in the CRM and invisible in the design tool, a design can be approved while the install diary is full, and an installed system can underperform for months while nobody compares its generation with the forecast that sold it. Each system reports its own stage well, and none of them reports the journey from enquiry to a working, generating system.
The analyst work joins that journey on a single job record. Leads are followed through survey, design, proposal, acceptance and install, with the time and the delay cause recorded at each stage. Installed systems are then compared with their modelled generation, grouped by panel, inverter and orientation, so a pattern of underperformance shows up as a pattern rather than as a single unhappy customer. Service tickets are grouped the same way, by fault type and system age, so an install fault is not confused with a product fault.
From that joined journey, the business can see its real constraints: whether it loses leads before survey, whether design is the bottleneck, which delay causes dominate the install cycle, and which system groups underperform. Book a free discovery call to check whether your lead, design and job records can be joined on a single job before scoping the work.
What this engagement covers for solar companies
- Lead to survey conversion — Leads are followed from enquiry through survey booking to a completed survey, showing where demand is lost before a design ever exists.
- Design and proposal view — Designs produced, proposals sent and proposals accepted are tracked separately, so a design bottleneck is not mistaken for a sales problem.
- Install cycle and delay analysis — Time from acceptance to install is split by stage, and delays are grouped by cause: roof, permission, grid, supply or scheduling.
- Generation against forecast — Installed systems are compared with their modelled generation, by panel, inverter and orientation group, so underperformance is found by pattern rather than by anecdote.
- Aftercare and ticket pattern — Service tickets are grouped by fault type, system age and installer team, showing whether a problem is a product fault, an install fault or a maintenance gap.
- Sales and operations workload view — Live leads, surveys, designs and installs are summarised by stage and by team, so a bottleneck in one stage is visible before it starves the next.
Built around the tools solar companies already use
Solar businesses typically run a CRM for leads and customers, a design tool for proposals and modelling, and a job management system for surveys and installs, plus monitoring data for generation. The engagement reads exports from those sources, and the job identifier is agreed before any figure is produced, because a lead in one system and a job in another are only the same job if the business says how they are linked.
Generation data needs care: a comparison is only fair over a full production period, and a system that was installed partway through a period cannot be judged on that period's total. The report states the period and the grouping used, so a generation shortfall is never presented without its basis.
From kickoff to delivery for solar companies
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Join the journey on one job record
Lead, survey, design, proposal, install and service records are matched on a single job identifier, with unjoined jobs counted.
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Split install time by stage and cause
Time from acceptance to install is broken into stages, and delays are grouped by roof, permission, grid, supply or scheduling cause.
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Compare generation by system group
Installed generation is set against its forecast by panel, inverter and orientation group, so underperformance shows as a pattern.
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Report monthly, stage by stage
A monthly stage-by-stage view, with the definition note, gives the business a pipeline and generation agenda it can manage.
Why hire Omer
- One job, end to end: Lead, design, install and generation records are joined on a single job, so the journey is visible whole.
- Delays grouped by cause: Install delays are split by roof, permission, grid, supply and scheduling, so the constraint is named.
- Generation judged by pattern: Underperformance is grouped by system type, which separates a product issue from a single bad install.
- Tickets grouped by fault: Service work is grouped by fault type and system age, so an install fault is not mistaken for a product fault.
- Bottlenecks before they starve the next stage: Stage workloads are shown together, so a blockage in design is visible before it empties the install diary.
Questions, answered
How is this different from a CRM expert or a software developer?
Our data is messy. Can analysis still help?
Do we need a data warehouse or a business-intelligence platform?
How often will we get reports?
What do you need from us to start?
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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