Measurement & Data Analyst

pThere is no pitch team and delivery team. If you build it, you present it, and you answer the hard question about it. /ppThe most junior person with a clean test result wins the argument. This is enforced, not aspirational. /ph3We invest in the boring craft /h3pMeasurement design, data hygiene, rights management. The work that makes the interesting work possible. /ph3Honest about the trade /h3pA small team means narrower specialisation options and a lighter support structure. If you want a defined career ladder, a larger agency will probably serve you better, and we would rather say so early. /ph3Open roles /h3h3Performance Media Manager /h3pMedia /ppItaly
· hybrid
· Full time /ppOwn the planning and buying on a small number of accounts, end to end, with a principal alongside rather than above you. /ppThe work /pulliPlan and buy across search, social, video and commerce media /liliDesign creative tests that produce readable results /liliRun weekly pacing and quarterly reallocation /liliPresent performance, including when it is bad /li /ulpWhat a fit looks like /pulliYou have run meaningful budgets and can explain a decision you got wrong /liliYou are suspicious of platform-reported ROAS /liliYou would rather consolidate five tools than add a sixth /li /ulpBuild the evidence layer: experiments, mix models, and the unglamorous data work that makes both trustworthy. /ppThe work /pulliDesign and run geo holdouts and matched-market tests /liliMaintain and calibrate marketing mix models /liliAudit attribution and conversion tracking setups /liliTurn results into a recommendation a CFO will accept /li /ulpWhat a fit looks like /pulliComfortable in SQL and either Python or R /liliYou can explain a confidence interval to a non-technical stakeholder /liliYou have said 'this test will not reach significance' out loud before /li /ulpBuild the generative production pipeline: stills, motion, versioning and localisation, inside brand rules and rights constraints. /ppThe work /pulliDesign and operate generative image and video workflows /liliEncode brand rulebooks as generation constraints /liliBuild versioning and localisation automation /liliOwn provenance, rights and disclosure hygiene /li /ulpWhat a fit looks like /pulliYou have shipped generative work to a real brand, not just to a portfolio /liliYou have opinions about where these tools are genuinely bad /liliYou can talk to a designer and to an engineer without translating twice /li /ulpOwn the pipelines and the modelling layer that everything else reads from, so the numbers in every dashboard agree. /ppThe work /pulliBuild and maintain ingestion from media and commerce platforms /liliModel a single measurement frame used by every downstream view /liliServer-side tagging and conversion API implementations /liliData quality monitoring that fails loudly /li /ulpWhat a fit looks like /pulliStrong SQL, comfortable with a modern warehouse and transformation stack /liliYou treat consent state as a first-class field, not an afterthought /liliYou have cleaned up somebody else's tracking implementation and lived /li /ulpHold a small portfolio of relationships, with enough craft depth to challenge the work rather than relay it. /ppThe work /pulliOwn the commercial relationship and the quarterly plan /liliTranslate between a client's business problem and the practice teams /liliKeep engagements scoped honestly, including scoping them down /liliBe the person who delivers unwelcome findings /li /ulpWhat a fit looks like /pulliAgency or client-side background with real performance marketing depth /liliYou can read a mix model output and ask a good question about it /liliYou have talked a client out of something /li /ulpItaly
· hybrid
· Full time
· entry level /ppA genuine entry route: structured mentoring, real account responsibility early, and no spreadsheet purgatory year. /ppThe work /pulliDay-to-day campaign operation under a senior owner /liliBuild reporting and spot what changed /liliRun test setups and document them properly /liliLearn the measurement stack from the inside /li /ulpWhat a fit looks like /pulliNumerate and curious; formal background matters less than evidence of both /liliYou have built something, anywhere, and can talk about why it worked /lili01 A short call to work out whether the problem set interests you. /lili02 A conversation with the practice lead about work you have actually done. /lili03 A paid exercise drawn from a real (anonymised) problem, discussed rather than graded. /lili04 A final conversation about how you would want the first ninety days to go. /li /ulpCompensation is discussed openly from the second conversation onward. We do not publish bands here because we do not want to advertise a number we would then treat as a ceiling. /ph3Nothing here fits? /h3pWe hire when we meet someone we should hire, not only when a role is open. If you work in performance media, measurement or applied AI and you like the way we write about this stu