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We are seeking a Senior Forecast Analyst - Demand Planning to help strengthen Oura'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.

• Develop, improve, and operationalize forecasting methodologies that increase accuracy, responsiveness, and scalability across Oura'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 Oura'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.

• 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.

• 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.

• 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.

• 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.

• 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.

• Forecasting at Oura 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.

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 Oura continues to scale.

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