Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше среднего
$130к-158к/год
$90к$110кмедиана$130к
По похожим ролям (47) ~ $110к/год
На СНГ рынке: $2.7к/мес ($2.1к - $3.5к)
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Крутая вакансия
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Чётко очерченная роль в быстро расширяющейся компании в сфере профилактической медицины даёт возможность отвечать за ключевую аналитику рынков и локаций, хотя создание моделей и процессов с нуля добавляет неопределённости.
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Оплата выше рынкаПонятная зона ответственностиС нуля и с влияниемРост сети клиникСовременные инструментыПрофилактическая медицина
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Quantitative Analyst (GIS): Building market intelligence, GIS models, demand forecasts, and performance analytics to guide healthcare clinic expansion with an accent on market sizing, site selection, and member data analysis. Focus on designing repeatable scoring and forecasting models, evaluating cannibalization and clinic density, and applying AI to automate analytical and real estate workflows.
Location: New York, New York, United States; hybrid/remote
Compensation: $129.6K–$158.4K
Company
hirify.global develops preventative healthcare clinics that combine proprietary non-invasive technology with direct clinical care to provide personalised, actionable health insights.
What you will do
Size addressable member bases by market and trade area, determine clinic capacity, and recommend market entry sequencing.
Support site selection, clinic sizing and spacing, infill decisions, and analysis of overlap and cannibalization.
Build the member data foundation with analytics and engineering teams, including member profiling, data collection, aggregation, and analysis.
Own GIS catchment definitions, data layers, scoring logic, and platform usability for Transaction Managers.
Develop repeatable site scoring, demand forecasting, scenario, sensitivity, portfolio, market, and site performance models.
Produce market entry recommendations, pipeline views, site briefs, approval memos, benchmarks, and AI-enabled processes for the Real Estate team.
Requirements
3–6 years of experience in market analytics, site selection, location intelligence, data science, or strategy, ideally supporting multi-site physical expansion.
Hands-on GIS experience with GrowthFactor, Esri ArcGIS, Kalibrate, Buxton, SiteZeus, Placer, or a similar platform, with an understanding of catchment and scoring logic.
Strong market sizing and quantitative skills, including penetration and capture modelling, regression or other predictive approaches, scenario and sensitivity analysis, and advanced Excel.
Experience working with census, consumer spend, mobility, and first-party data, including awareness of the limitations of each data source.
Financial literacy, including the ability to build a basic site pro forma, calculate payback and break-even, and connect demand forecasts to real estate decisions.
Flexibility to dismantle and rebuild models as facts change while remaining organised as priorities shift.
Clear communication and intellectual honesty, including the ability to defend assumptions to executives, identify likely sources of error, and communicate when data does not support a desired answer.
SQL or Python skills to work alongside engineering teams.
Specific, demonstrable use of AI to accelerate analytical work and interest in teaching others to use it.
Nice to have
Exposure to healthcare or regulated markets.
Experience with European or multi-region expansion.
Culture & Benefits
Work in a small team reporting to the Head of US Real Estate and collaborating with Transaction Managers, Real Estate Associates, data analytics, engineering, Design, Construction, and Legal.
Help establish analytical standards and processes for a rapidly expanding clinic portfolio.
Use Claude and custom AI agents to automate manual work, create reusable prompts and skills, train teammates, and track time saved.
Build processes and models from scratch and continuously refine them based on clinic performance and opening learnings.
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