Ōura Logo

Ōura

Forecast Analyst Demand Planning

Posted 3 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
143K-169K Annually
Senior level
In-Office
San Francisco, CA, USA
143K-169K Annually
Senior level
Senior individual contributor responsible for improving and operationalizing statistical and ML-enabled demand forecasts. Build baseline models, integrate shipments/POS/inventory data, automate workflows, evaluate forecast performance, and deliver decision-ready analytics and scenario tools to Demand Planning, Supply Chain, Finance, and Data teams to improve planning accuracy and scalability.
The summary above was generated by AI

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. 

Role Summary

We are seeking a Forecast Analyst – Demand Planning to help strengthen Ōura’s forecasting capabilities through better analytics, improved data integration, and more scalable demand methodologies.

In this senior individual contributor role, you will act as the analytical engine behind demand planning — improving how we translate signals into forecasts, building stronger statistical baselines, and helping the organization move toward more advanced machine learning-enabled forecasting over time. You will work closely with Demand Planning, Supply Chain, Data, Finance, and Systems partners to improve forecast quality, modernize inputs and tooling, and build decision-ready insights that help the business plan with greater confidence.

This role is ideal for someone who is deeply quantitative, highly practical, and excited to apply data science and analytical rigor to real planning decisions in a fast-growing consumer hardware business.

What You Will DoForecast Methodology & Model Development
  • Develop, improve, and operationalize forecasting methodologies that increase accuracy, responsiveness, and scalability across Ōura’s planning processes.
  • Build and refine statistical baseline forecasts using historical demand, seasonality, promotions, product transitions, channel mix, and other key business drivers.
  • Help drive Ōura’s evolution toward machine learning-enabled forecasting by identifying the highest-value use cases, testing approaches, and translating outputs into practical planning decisions.
  • Evaluate forecast performance using error diagnostics, bias analysis, and other relevant metrics, and turn findings into clear recommendations for improvement.
  • Standardize forecasting logic, assumptions, and documentation so methods are transparent, repeatable, and easier to scale.
Data Integration & Planning Infrastructure
  • Partner with Data and Systems teams to improve the structure, reliability, and integration of demand planning inputs across forecasting workflows.
  • Help connect data across shipments, POS, inventory, promotions, product lifecycle events, and other planning inputs so teams can work from a more complete and trusted demand signal.
  • Identify opportunities to reduce manual work and improve planning speed through better tooling, automation, and analytical design.
  • Support business requirements and validation for planning system enhancements, ensuring analytical and forecasting use cases are well represented.
Decision Support & Cross-Functional Analytics
  • Build scenario models, dashboards, and analytical tools that help the business understand demand risk, upside, downside, and operational implications.
  • Support monthly, quarterly, and long-range planning cycles with clear, decision-ready analysis.
  • Partner closely with Demand Planning and Supply Chain to ensure forecasting outputs are actionable within supply, inventory, and execution processes.
  • Translate complex analytical findings into concise business narratives for technical and non-technical stakeholders.
  • Bring structure to ambiguous forecasting problems by combining analytical depth with sound business judgment.
Continuous Improvement
  • Improve core forecasting metrics, reporting, and workflows so the team can focus more on decisions and less on manual data gathering.
  • Help define the future-state demand planning capability, including stronger baselines, better model governance, and more scalable analytics.
  • Contribute to a culture of experimentation and evidence-based planning by testing new methods and measuring their business impact.
What We’re Looking ForMust-Have Qualifications
  • 6+ years of experience in forecasting, demand planning, analytics, data science, operations research, or a closely related field.
  • Strong experience building and applying statistical forecasting methods in a business environment.
  • Advanced SQL skills and strong proficiency in Python, R, or a similar analytical programming language used for modeling and forecasting.
  • Demonstrated ability to work with large, messy data sets and improve data quality, data structure, and analytical reliability.
  • Experience developing forecasting models, evaluating model performance, and using diagnostics to improve outcomes over time.
  • Strong understanding of planning and operational processes, ideally in consumer products, hardware, retail, or supply chain environments.
  • Ability to translate analytical work into clear business recommendations that influence planning decisions and cross-functional action.
  • Experience partnering effectively with both technical and non-technical stakeholders across functions.
  • Strong ownership mindset and the ability to operate effectively in a fast-paced environment with evolving processes and priorities.
Nice-to-Have Qualifications
  • Experience with machine learning approaches for time-series forecasting or demand sensing in production or near-production settings.
  • Familiarity with planning platforms, BI tools, and modern data environments used in operational planning.
  • Background in consumer electronics, wearables, premium hardware, or subscription-adjacent businesses.
  • Experience helping design or scale forecasting processes in a high-growth company.
  • Experience with causal modeling, experimentation, or advanced scenario planning techniques.
Success in This Role
  • Forecasting at Ōura becomes more scalable, data-driven, and reliable through stronger baseline methods and clearer performance measurement.
  • Demand Planning and Supply Chain teams have better inputs, better visibility into risk, and greater confidence in forecast-based decisions.
  • Demand data becomes more integrated, more trustworthy, and easier to use across planning workflows.
  • New methodologies improve forecast quality without adding unnecessary complexity to the planning process.
Growth Opportunity

This is a high-impact individual contributor role with meaningful ownership over forecasting methodology, demand analytics, and planning infrastructure. Over time, this role can expand its influence across forecasting strategy, planning systems, and analytical capability-building as Ōura continues to scale.

Benefits

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

  • Competitive salary and equity packages
  • Health, dental, vision insurance, and mental health resources
  • An Oura Ring of your own plus employee discounts for friends & family
  • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
  • Paid sick leave and parental leave

This role is based in San Francisco, CA. We are only considering candidates who currently reside in the San Francisco Bay Area.

  • Region 1 $143,000 - 169,000

Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Disclaimer: Beware of fake job offers!
We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:

  • Our jobs are listed only on the ŌURA Careers page and trusted job boards.
  • We will never ask for personal information like ID or payment for equipment upfront.
  • Official offers are sent through Docusign after a verbal offer, not via text or email.

Stay cautious and protect your personal details.

To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

Ōura San Francisco, California, USA Office

222 Kearny street , San Francisco, CA, United States, 94133

Similar Jobs

39 Minutes Ago
Remote or Hybrid
United States
42K-57K Annually
Junior
42K-57K Annually
Junior
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Administers group insurance transactions for participants, plan sponsors, customers, and internal partners. Reviews and enters enrollment data, manages eligibility and beneficiary records, handles plan referrals, maintains automated systems, troubleshoots data issues, develops customer relationships, and researches escalated cases. The role also supports process improvements, explains procedures during customer interactions, and ensures accurate, timely service delivery.
Top Skills: Microsoft Office Suite
An Hour Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
105K-105K Annually
Senior level
105K-105K Annually
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
The Senior Mid-Market Account Executive will engage with mid-to-large size customers to drive new business growth through strategic sales efforts and collaboration.
Top Skills: DiscoverorgSales Navigator
An Hour Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
66K-88K Annually
Junior
66K-88K Annually
Junior
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Premier Support Engineers at Datadog engage with clients to provide technical support, develop relationships, and drive product discussions while working in a fast-paced environment.
Top Skills: Datadog IntegrationsLinuxSaaS

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account