Hire Data Analyst for Online Course Creators
Senior, direct, no layers

A data analyst turns the data a course business already collects into decisions: which programmes attract enquiries that convert, where applications stall, where learners disengage, and what deserves attention this term. For online course creators and education businesses, 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.

Course creators usually run on a course platform such as Teachable, Thinkific, Kajabi, or Podia, or on WordPress with LearnDash, with a community in Circle, email through ConvertKit or Mailchimp, payments through Stripe, live sessions on Zoom, and glue work in Zapier. The platform that was right at launch often becomes the constraint at scale: checkout, cohorts, certificates, and bundles each arrive as a workaround, and student questions pile up in email and direct messages. The useful question is rarely which platform is best in general, but which combination removes the specific bottleneck in your funnel or your student experience without forcing a full migration. 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.

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.