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Docplanner
Docplanner
1 001 – 5 000 Xodimlar
MarketpleysSaaSSog‘liqni saqlash
Docplanner sog‘liqni saqlash, marketplace va SaaS yo‘nalishlarida faoliyat yurituvchi global sog‘liqni saqlash texnologiyalari kompaniyasidir. Uning platformasi bemorlarga shifokorlarni topish va qabulga yozilish imkonini beradi, klinikalar hamda tibbiyot mutaxassislariga esa amaliyotni boshqarish, bemorlar bilan aloqalar, onlayn ko‘rinish va obro‘ni boshqarish vositalarini taqdim etadi. Kompaniyaning integratsiyalashgan xizmatlari klinikalardagi ish jarayonlarini yaxshilash, bekor bo‘ladigan qabul randevularini kamaytirish va tibbiy yordamdan foydalanishni osonlashtirish uchun ishlab chiqilgan. Kompaniya 13 mamlakatda faoliyat yuritadi; unda 2 800 dan ortiq xodim va qariyb 300 000 nafar faol shifokor bor, har oy taxminan 25 millionta qabulga yozilish amalga oshiriladi va veb-saytlarga oyiga qariyb 100 million tashrif buyuriladi.
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Kompaniyadagi ish o‘rinlari

Senior Data Analyst, Customer Success Operations — Docplanner, Spain Remote

Join Docplanner as a Senior Data Analyst supporting customer success operations across its global healthcare platform. Develop dashboards, predictive models, automation, and experiments across 13 markets.

ESIspaniyaMasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar tahlilchisi
BigQueryPythonSQLTableau

Tavsif

  • Own recurring reports, Tableau/Superset dashboards, and analytical data models
  • Develop and maintain automations that can scale across multiple markets
  • Apply established BI dashboard and data quality standards to analytical outputs
  • Evaluate, refine, and enhance statistical and predictive models
  • Prototype new statistical and predictive applications, then transfer validated models to Data Science
  • Use regression, forecasting, and related statistical methods to solve business problems
  • Use AI tools consistently and effectively for querying, coding, and analysis
  • Contribute to shared libraries, reusable code, and GitHub-based architecture
  • Convert business-line priorities into requirements for BI, Data Platform, and Product Analytics
  • Work with the relevant business VP and leadership team to uncover gaps and opportunities
  • Conduct deep-dive analyses that explain performance drivers and recommend next actions
  • Design, execute, and interpret A/B tests and other experiments
  • Assess incoming requests, organize the workload, and agree priorities with business and data partners
  • Raise cross-team dependencies and resource trade-offs with the analytics manager
  • Report to the Global Customer Success Operations Analytics Manager

Talablar

  • Degree in a quantitative discipline such as engineering, statistics, mathematics, physics, or a comparable field
  • Three to five years of relevant analytics experience in an individual contributor role
  • Advanced SQL skills, preferably with BigQuery experience
  • Strong Python skills, particularly for statistical and predictive modelling
  • Practical knowledge of regression, forecasting or prediction, A/B testing, and broader statistical modelling
  • Hands-on experience with Looker and/or Tableau, including dashboards for non-technical audiences
  • Ability to turn complex analysis into accessible business language and a coherent narrative
  • Experience collaborating across functions with non-technical stakeholders
  • Professional fluency in English; Spanish is advantageous
  • Understanding of AI and LLM capabilities and limitations, plus experience building with these technologies
  • Demonstrated ability to scope analytical problems, perform rigorous quantitative analysis, and produce decision-enabling insights
  • Experience developing or validating statistical or predictive models and transferring them to a Data Science team is an additional advantage
  • Experience in technology companies, start-ups, and/or consulting is an additional advantage
  • Already hold the legal right to work in the country of residence or role location
  • Visa sponsorship is not available

Imtiyozlar

  • Healthcare insurance
  • Gym membership support
  • Mental health support
  • Vacation, birthday, and recharge leave
  • Meal vouchers, depending on location
  • Transport allowances, depending on location
  • Extended parental leave, depending on location
  • Opportunities for career development and progression
  • Opportunities to work on cross-functional projects
  • Remote work with flexible hours
  • Access to office hubs in Barcelona, Warsaw, Curitiba, Rio de Janeiro, Mexico City, Bogotá, Munich, Rome, or Bologna
  • A global, diverse, and inclusive workplace

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KonsaltingMarketingSog‘liqni saqlash
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Chakana savdoElektron tijoratMarketpleys
USAmerika Qo‘shma ShtatlariMAMassachusetsNYNyu-YorkMasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisi
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Develop ranking, recommendation, and multimodal search systems for Nivoda’s global jewellery marketplace and jeweller storefronts. Build production machine learning capabilities across search, product discovery, and image matching.

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