Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
60к-70к CAD/год
100к CAD130к CADмедиана180к CAD
По похожим ролям (50) ~ 130к CAD/год
На СНГ рынке: $2.4к/мес ($1.6к - $3.3к)
54
Средняя вакансия
развернуть
У роли понятные задачи в управлении проектами и аналитике, включая применение ИИ, но зарплата заметно ниже рыночного ориентира, а работа предполагает присутствие на площадках в двух городах.
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Зарплата ниже рынкаСовременные инструментыПрактический ИИДве площадкиПонятный круг задач
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Project Analyst, Cultivation (AI): Coordinating global cultivation projects and analyzing environmental, operational, and production data with an accent on dashboards, KPIs, automation, and AI-driven optimization. Focus on yield forecasting, plant and canopy analysis, anomaly detection, workflow automation, and translating complex data into measurable cultivation improvements.
Location: Markham and Bradford, Canada; onsite.
Salary: CAD 60,000–70,000 annually, based on experience, qualifications, and overall fit.
Company
hirify.global is a global cannabis company producing premium medical cannabis for patients and consumers across Canada, Europe, Australia, and New Zealand.
Support the Chief Cultivator and global cultivation leadership with strategic initiatives, project plans, trials, and special projects.
Analyze cultivation, environmental, operational, yield, quality, and plant-performance data to identify trends, risks, gaps, and opportunities.
Build and maintain dashboards, KPIs, reports, presentations, and executive summaries using Excel, Power BI, Python, SQL, or similar tools.
Identify and support AI, machine learning, computer vision, predictive analytics, and automation use cases, including yield forecasting, plant and canopy analysis, phenotype analysis, environmental optimization, anomaly detection, labor forecasting, and resource planning.
Coordinate global cultivation meetings and facilitate communication, reporting, decision documentation, and follow-up across cultivation and cross-functional teams.
Requirements
At least 3 years of experience in project coordination, project management, or project analyst work.
A bachelor’s degree in Data Analytics, Business Analytics, Computer Science, Engineering, Agriculture, Plant Science, Business, or a related field.
Experience as a Project Analyst, Data Analyst, Business Analyst, Operations Analyst, or in a similar role.
Exceptional analytical, critical-thinking, and problem-solving capabilities, including the ability to turn complex data into actionable insights.
Strong project coordination, organizational, communication, stakeholder-management, and business skills, with a focus on measurable benefits.
Strong proficiency with Sage, Microsoft Project, Excel, and Power BI or similar data-visualization tools.
Experience building dashboards, analyzing KPIs, and supporting data-driven decision-making.
Strong understanding of or demonstrated interest in AI, generative AI, machine learning, automation, and emerging technologies.
Ability to translate technical and analytical information into clear recommendations and identify opportunities to improve existing processes.
Nice to have
Experience with Python and/or SQL.
Experience supporting agricultural, cultivation, manufacturing, food production, pharmaceutical, or other regulated industries.
Familiarity with cannabis cultivation principles and production environments.
Culture & Benefits
Full-time, permanent employment with a 40-hour work week.
Inclusive and accessible workplace committed to diversity, equity, inclusion, belonging, and accommodation.
Collaborative global environment focused on continuous improvement, agility, science, and measurable impact for patients and consumers.
Hiring process
Submit a resume through the company website.
The Talent Acquisition Team will review applications and contact candidates by email if there is a fit.
Applications are reviewed by the Talent Acquisition Team rather than an AI software or system.
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