Hire Data Analyst for Wedding Planning
Senior, direct, no layers

A wedding is planned over many months, with a large budget, many suppliers and a guest list that rarely stays still. The records of that wedding are scattered across the same long timeline: the enquiry that arrived, the package that was signed, the supplier quotes that changed, the guest count that grew, and the payments that arrived late or early. Until those records are joined on a single wedding, nobody can say which packages make money, which supplier categories overrun, or whether a busy peak season was actually profitable.

The analyst work follows each wedding from enquiry to final payment. Enquiries are tracked to signed bookings by package and by wedding month, because a package that only books in peak months has a different season from one that books all year. Packages are costed after supplier fees, venue charges, staff time and guest-count changes, because the extra twenty guests are where many weddings quietly lose their margin. Payment schedules are checked against due dates, so a cash flow problem can be separated from a pricing problem.

What the planner gets is a package and season picture it can quote from: which packages to pursue, which to reprice, which supplier categories to renegotiate, and how guest-count changes should be priced into the next contract. Book a free discovery call to check whether your enquiry, supplier and payment records can be joined on a single wedding before scoping the work.

Wedding businesses usually run an enquiry inbox or CRM, planning spreadsheets or a tool for packages and suppliers, and an invoicing or accounts system for payments, with guest counts that may live in a separate list. The engagement reads exports from those sources, and the wedding identifier is agreed first, because an enquiry, a booking and a payment are only the same wedding if the business can say how they are linked.

Guest-count discipline is the main data risk: a guest list that is updated in one place and not another produces two different weddings in the data. The report states which guest count was used for each figure, at signing and at the day, so a margin figure is never built on a guest count nobody can identify.

A wedding business that completes this work should be able to quote its next wedding from evidence: the true cost of a similar package at its final guest count, the supplier categories that overran last time, and the payment pattern that season actually follows. Referrals from past couples, venues and suppliers become a measured share of bookings rather than a reputation claim.

The work cannot make a peak season longer or a guest list smaller. It can show which packages, supplier categories and payment habits repay effort, and it can stop a popular package from being quoted at a price that loses money once the guest list grows. Contact Omer to talk through your packages and season.