[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"company-prima-assicurazioni":3},{"slug":4,"name":5,"sectorValue":6,"sectorLabel":7,"size":8,"description":9,"locations":10,"avgRal":14,"ralRange":15,"contributionCount":18,"overallRating":19,"avgRatings":20,"salaries":25},"prima-assicurazioni","Prima Assicurazioni","assicurazioni","Assicurazioni","1001-5000","Prima Assicurazioni è presente nel dataset XCompenso con 19 contributi verificati. Le segnalazioni più frequenti appartengono alla categoria Assicurazioni. Le sedi più presenti sono Italia, Milano, Roma.",[11,12,13],"Italia","Milano","Roma",57263,{"min":16,"max":17},27000,77000,19,3.7,{"workLifeBalance":21,"professionalGrow":22,"modernTechStack":23,"benefits":22,"training":24,"toxicEnvironment":21},4.6,3.9,4.5,4.1,[26,35,41,52,63,81,89,93,98,103,113,118,122,127,135,140,144,148,153],{"id":27,"role":28,"seniority":29,"location":12,"workMode":30,"ral":16,"stack":31,"review":33,"updatedAt":34},6962,"Customer Service Representative","4-6","Ibrida",[32],"pc","Poche possibilità di crescita interna","2026-07-15T11:34:41.811Z",{"id":36,"role":37,"seniority":29,"location":13,"workMode":30,"ral":38,"stack":39,"updatedAt":40},6741,"Product Manager",50000,[],"2026-05-04T08:38:19.560Z",{"id":42,"role":43,"seniority":44,"location":12,"workMode":30,"ral":45,"stack":46,"review":50,"updatedAt":51},6545,"Data Scientist","1-3",65000,[47,48,49],"Python","Databricks","Spark","Il team di Data Science di Pricing in Prima richiede dedizioni e buone capacità analitiche.\nÈ vietato fare straordinari e il venerdì pomeriggio è dedicato allo studio o progetti personali legati alle attività aziendali.\nLa crescita è veloce e lavorando bene si ha uno scatto (consistente) ogni massimo 2 anni","2026-02-22T16:03:44.573Z",{"id":53,"role":54,"seniority":44,"location":11,"workMode":55,"ral":56,"stack":57,"review":61,"updatedAt":62},6489,"AI Engineer","Full-Remote",55000,[47,58,59,60],"Rust","Elixir","Machine Learning","Pro: stack tecnologico, ambiente sereno, prospettive di crescita\nContro: migliorabili i benefit (soprattutto assicurazione sanitaria e sconto assicurazione RCA)","2026-02-09T21:47:21.608Z",{"id":64,"role":65,"seniority":66,"location":12,"workMode":30,"ral":67,"stack":68,"updatedAt":80},5428,"Developer","7-9",72000,[58,69,70,71,72,73,74,75,76,77,78,79],"Typescript","GraphQL","Node","React","Elm","Kubernetes","RabbitMQ","PostgreSQL","Kafka","AWS","Datadog","2025-07-16T11:14:58.183Z",{"id":82,"role":83,"seniority":29,"location":12,"workMode":30,"ral":84,"stack":85,"updatedAt":88},4532,"Engineering Manager",75000,[47,48,86,87],"MLFlow","SQL","2025-04-09T10:15:44.525Z",{"id":90,"role":83,"seniority":44,"location":11,"workMode":55,"ral":17,"stack":91,"updatedAt":92},4300,[],"2025-03-13T17:17:26.083Z",{"id":94,"role":65,"seniority":29,"location":11,"workMode":55,"ral":95,"stack":96,"updatedAt":97},4032,48000,[59,58,47],"2025-01-30T15:50:52.840Z",{"id":99,"role":100,"seniority":29,"location":11,"workMode":55,"ral":45,"stack":101,"updatedAt":102},3989,"ML Engineer",[],"2025-01-28T12:59:17.603Z",{"id":104,"role":105,"seniority":29,"location":11,"workMode":55,"ral":106,"stack":107,"updatedAt":112},3980,"Data Engineer",63000,[47,108,109,110,78,111],"Notion","Software proprietario","Excel","Tableau","2025-01-28T10:41:27.133Z",{"id":114,"role":43,"seniority":44,"location":12,"workMode":30,"ral":115,"stack":116,"updatedAt":117},3474,45000,[47,87,111],"2024-11-11T07:53:09.094Z",{"id":119,"role":43,"seniority":44,"location":12,"workMode":30,"ral":115,"stack":120,"updatedAt":121},3208,[],"2024-10-05T08:15:51.963Z",{"id":123,"role":105,"seniority":29,"location":13,"workMode":30,"ral":124,"stack":125,"updatedAt":126},3170,60000,[],"2024-09-24T19:51:13.391Z",{"id":128,"role":129,"seniority":44,"location":11,"workMode":55,"ral":130,"stack":131,"updatedAt":134},3158,"Software Support Engineer (L1-L2-L3)",58000,[60,47,132,133,78],"Docker","Terraform","2024-09-21T20:47:37.976Z",{"id":136,"role":65,"seniority":66,"location":11,"workMode":55,"ral":137,"stack":138,"updatedAt":139},2269,51000,[],"2024-06-18T22:49:52.360Z",{"id":141,"role":65,"seniority":29,"location":12,"workMode":30,"ral":124,"stack":142,"updatedAt":143},2254,[],"2024-06-17T15:00:16.111Z",{"id":145,"role":37,"seniority":66,"location":12,"workMode":30,"ral":45,"stack":146,"updatedAt":147},1832,[],"2024-05-16T13:47:11.339Z",{"id":149,"role":65,"seniority":66,"location":11,"workMode":55,"ral":150,"stack":151,"updatedAt":152},1261,70000,[],"2024-03-01T10:40:19.857Z",{"id":154,"role":155,"seniority":44,"location":11,"workMode":55,"ral":156,"stack":157,"updatedAt":158},1203,"Data Analyst",37000,[],"2024-02-26T10:11:43.928Z"]