Hire Data Analyst for Translation Agencies
Senior, direct, no layers

A translation agency's margin is decided in the handover gaps: quotes that take days because the source files were never properly scoped, linguists assigned without checking their subject specialism, translation memory that is not reused so the same sentences get translated twice, and quality checks squeezed at the end because the deadline moved. Clients notice inconsistency before they notice speed.

For Translation Agencies, the data already exists in source files, translation memories, terminology bases and QA reports; the missing piece is someone joining it up and answering which work earns, where quote, linguist assignment, translation, editing and proofreading stalls, and what to stop.

A data analyst turns source files, translation memories, terminology bases and QA reports for Translation Agencies into decisions: which work earns, where quote, linguist assignment, translation, editing and proofreading stalls, which clients and channels repay attention, and what to stop doing. The deliverable is not a dashboard for its own sake; it is answers to specific questions, with the numbers behind them. Book a free discovery call and we will test the fit on one real workflow before any wider scope is agreed.

Agencies typically translate in a CAT tool such as Trados, memoQ or Phrase, maintain translation memory and terminology bases per client, manage linguist vendors by language pair and specialism, and run linguistic QA before delivery. The work here connects quoting, assignment, memory reuse and QA instead of replacing tools linguists already trust.

Analysis joins source files, translation memories, terminology bases and QA reports from the CAT tools, translation memory and linguist vendor systems into one reconciled view, so reports reflect the same figures the team sees in their daily tools.

Certified and sworn translations carry formal requirements that vary by jurisdiction and document type, and legal and medical source material carries strict confidentiality duties. Client documents stay inside the agency's own systems under its existing permissions, and no machine translation output reaches a client without a qualified human reviewing it. That constraint shapes the build from day one: permissions follow the team's existing structure, and nothing ships without the team's approval.

The realistic outcome is steadier delivery: quotes that go out the same day, fewer re-translated sentences, terminology that stays consistent across a client's documents, and QA findings caught before delivery instead of by the client.

The change is decisions made from evidence: stalled stages named with numbers, profitable work identified plainly, and weekly conversations that start from the same figures. Browse all hire engagements or discuss your translation agencies workflow directly.