Forecast Analyst Demand Planning

About this role

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 Do

Forecast 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 For

Must-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, experim

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