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3 дня назад

Forecast Analyst Demand Planning

143 000 - 169 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Forecast Analyst Demand Planning (Demand Forecasting/Data Analytics): Developing and operationalizing statistical demand forecasts for Oura’s consumer hardware business with an accent on forecasting methodology, data integration, and decision-ready planning analytics. Focus on building scalable baselines, evaluating forecast performance, connecting operational demand signals, and advancing machine learning-enabled forecasting.

Location: Hybrid in San Francisco, California; only candidates currently residing in the San Francisco Bay Area will be considered.

Salary: $143,000–$169,000 per year.

Company

hirify.global develops the Oura Ring and connected app, providing health insights related to readiness, activity, and sleep quality.

What you will do

  • Develop, improve, and operationalize statistical forecasting methodologies for demand planning.
  • Build baseline forecasts using historical demand, seasonality, promotions, product transitions, channel mix, and other business drivers.
  • Evaluate forecast accuracy, bias, and error diagnostics, turning findings into improvement recommendations.
  • Integrate shipments, point-of-sale data, inventory, promotions, and product lifecycle inputs across planning workflows.
  • Build scenario models, dashboards, and analytical tools for demand risk, upside, downside, and operational planning.
  • Partner with Demand Planning, Supply Chain, Data, Finance, and Systems teams to improve planning infrastructure and decision-making.

Requirements

  • 6+ years of experience in forecasting, demand planning, analytics, data science, operations research, or a related field.
  • Strong experience applying statistical forecasting methods in a business environment.
  • Advanced SQL skills and strong proficiency in Python, R, or a similar analytical programming language.
  • Experience working with large, messy datasets and improving data quality, structure, and analytical reliability.
  • Experience developing forecasting models, evaluating performance, and using diagnostics to improve outcomes.
  • Understanding of planning and operational processes, ideally in consumer products, hardware, retail, or supply chain environments.

Nice to have

  • Experience with machine learning for time-series forecasting or demand sensing.
  • Familiarity with planning platforms, BI tools, and modern data environments.
  • Background in consumer electronics, wearables, premium hardware, or subscription-adjacent businesses.
  • Experience with causal modeling, experimentation, or advanced scenario planning.

Culture & Benefits

  • Competitive salary and equity package.
  • Health, dental, vision, and mental health benefits.
  • Oura Ring provided, plus employee discounts for friends and family.
  • 20 days of paid time off, 13 paid holidays, and 8 flexible wellness days.
  • Paid sick leave and parental leave.

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