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Currently available for select engagements

Hire Data Analyst for Schools
Senior, direct, no layers

Dashboards and analysis that show where enquiries stall, where learners struggle, and what to fix first.

15+
Years Experience
100+
Projects Delivered
6
Countries Served
$25M+
Revenue Enabled
Schools — Data Analyst

A senior data analyst for schools

A data analyst turns the data a school already collects into decisions: which programmes attract enquiries that convert, where applications stall, where pupils disengage, and what deserves attention this term. For schools and school groups, data is usually plentiful and unusable: exports from several systems, definitions that differ by team, and reports nobody trusts. The work starts by agreeing what each number means, then builds dashboards that answer specific questions, not dashboards that display everything.

Engagements start with a conversation about the actual job to be done, not a package. Book a free discovery call and we will test the fit before any scope is agreed.

What you get

What this engagement covers for schools

  • Enquiry and conversion analysis — Funnel analysis from enquiry to application to enrolment, showing where prospects stall and which sources convert.
  • Learner progress dashboards — Attendance, engagement, and progress views that help teachers and office staff spot pupils who need support early.
  • Programme performance views — Comparable views across programmes, year groups, and extracurricular provision so leaders can see what is working without arguing about definitions.
  • Data cleaning and definitions — Agreed definitions and cleaned joins between systems, so a number means the same thing in every meeting.
  • Regular reporting rhythm — Weekly or termly reporting packs built from live data, replacing hand-assembled spreadsheets.
  • Self-serve foundations — Dashboards and documentation your team can filter and understand without an analyst in the room.
Systems you already run

Built around the tools schools actually use

Most schools run a student information system such as PowerSchool or Blackbaud at the centre, with Google Classroom or Schoology for classwork, Clever for single sign-on, and tools such as ClassDojo or Seesaw for parent communication in younger year groups. Finance and billing often sit in a separate system such as FACTS, and admissions enquiries may live in spreadsheets or an inbox before they ever reach the SIS. Any new build has to respect that split: staff will not adopt a tool that forces them to re-enter the same pupil data twice, and parents will not use a portal that contradicts what the school office tells them. Analysis is built from your existing systems and analytics tools, with definitions documented alongside every dashboard, so figures can be checked back to source rather than taken on trust.

The practical rule is simple: new work should reduce the number of places staff have to look, not add another one. That is why integration, permissions, and handover are part of the scope from the start, rather than items discovered after launch.

How it works

From kickoff to delivery for schools

  1. Agree the questions

    Pick the decisions the data must support, and agree what each metric means before building anything.

  2. Audit and clean the data

    Check what your systems actually record, fix the joins and definitions, and document the gaps honestly.

  3. Build the first dashboards

    Build dashboards for the highest-value questions first, and test them against known cases with your team.

  4. Set the reporting rhythm

    Agree who reads what, when, and what action follows, so reporting leads to decisions.

Realistic outcomes

What to expect, honestly

The realistic outcome is fewer arguments about numbers and faster decisions about intakes, support, and programme focus. Analysis does not manufacture insight from bad data: where data is incomplete, the report says so and shows what to record better next term. Over time, the organisation stops re-litigating definitions and starts acting on the same picture.

Why Omer

Why hire Omer

  • Decisions first, dashboards second: every view exists to support a specific decision.
  • Definitions agreed up front: numbers mean the same thing in every meeting.
  • Checked back to source: figures trace to your systems, not to a black box.
  • Built for your team: dashboards and docs your staff can use without an analyst present.
  • Honest about gaps: incomplete data is labelled, not smoothed over.
FAQ

Questions, answered

What data do you need access to?
Enquiry, application, and progress data from your existing systems, with the minimum access needed and handling agreed under your data policies. Nothing is copied somewhere it should not be.
Our data is messy. Can analysis still help?
Yes, if the mess is named honestly. The first deliverable is often cleaned definitions and a short list of what to record better, alongside dashboards for the questions the current data can answer.
Will we be able to maintain the dashboards?
Yes. Dashboards are documented and built in tools your team can access, with training on filtering, reading, and updating them.
How is this different from our existing reports?
Existing reports often describe the past in incompatible definitions. This work agrees definitions first, then builds views tied to decisions, with a rhythm for acting on them.
How do you handle pupil data and safeguarding?
Pupil data stays in your existing systems wherever possible, and any new tool is given the minimum access it needs, with role-based permissions for staff. Work is planned around your safeguarding and data-protection policies from the start, including who can see what, how long messages and records are kept, and how a parent request to correct or remove data is handled.
Currently available for select engagements

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