Hire Data Analyst for Agriculture
Senior, direct, no layers

A farm rarely lacks records. Field notebooks, input receipts, weighbridge tickets, delivery notes and buyer statements each hold part of the story, and they rarely agree. One field shows up under three spellings, a variety under two names, and a single load can be counted at harvest and again at delivery, so the question that matters most goes unanswered: after seed, fertiliser, spray, labour and transport, which field and which variety actually paid?

The analyst work starts by joining those records at field and variety level, not by building a dashboard. Harvest weights are matched to delivery notes, input invoices are spread across the fields they were used on, and labour days are tied to the jobs they covered. Where a record cannot be matched, it is listed as unmatched rather than quietly dropped, because an unmatched load or an unallocated invoice is exactly the kind of gap that makes a margin figure look better than it is.

If the joined records show a variety winning on yield but losing on cost, or a field that looks strong until transport is counted, the report says so plainly and names the next decision: plant less of it, renegotiate the buyer terms, or change the input mix. Book a free discovery call to test whether your records can support that kind of answer before any scope is agreed.

The records usually live in a mix of paper notebooks, spreadsheets, a farm management app if one is in use, and statements from buyers and cooperatives. Nothing here requires replacing that mix. Exports and photographs of notebooks are worked from copies, the originals stay untouched, and the cleaned field-level file is handed back in a spreadsheet the farm can keep using.

Timing matters more than software. Exports and checks are scheduled around planting and harvest, never during the busiest days in the field, and any question that needs a grower or a storekeeper is asked in one short sitting rather than drip-fed across a season. A definition note records what counts as a field, a load and a sale, so next season's figures can be compared with this season's without a quiet change of meaning.