Forecast Analyst Demand Planning

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.

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.

• 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.

• 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…