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Currently available for select engagements

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.

15+
Years Experience
100+
Projects Delivered
6
Countries Served
$25M+
Revenue Enabled
Solar Companies — AI, Data & Automation

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 you get

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.
Systems this industry runs

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.

How it works

From kickoff to delivery for solar companies

  1. 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.

  2. 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.

  3. Compare generation by system group

    Installed generation is set against its forecast by panel, inverter and orientation group, so underperformance shows as a pattern.

  4. 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 Omer

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.
FAQ

Questions, answered

How is this different from a CRM expert or a software developer?
A CRM expert configures the system and a developer builds on it. This work reads the records the CRM, design and job systems already hold and joins them into a lead-to-install and generation picture. No system change is required to start.
Our data is messy. Can analysis still help?
Yes. Solar records are often split across a CRM, a design tool and a job system, and the first task is to join them on a single job identifier. Jobs that cannot be joined are counted openly, so the business knows how much of the picture is affected.
Do we need a data warehouse or a business-intelligence platform?
Not to start. The engagement works from the exports those systems already produce. A platform is worth discussing only when the same lead, install and generation questions are asked every week.
How often will we get reports?
Monthly for the full lead-to-install and generation view, with a shorter stage check when an install backlog is being cleared. Generation comparisons need a full billing or production period to be meaningful.
What do you need from us to start?
Lead, survey, design, proposal, install and service records for an agreed period, plus generation data or modelled forecasts where they exist. A note on how job stages are used in practice prevents most misreading.
Currently available for select engagements

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