Senior Forecast & Demand Planning Analyst

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary and equity packages

Health, dental, vision insurance

Employee discounts

Paid time off and holidays

Sick leave and parental leave

Job summary

Ōura is seeking a Forecast Analyst – Demand Planning to strengthen forecasting through better analytics, data integration, and scalable demand methodologies. In this senior individual contributor role, you will translate signals into forecasts, build stronger baselines, and help the organization move toward machine‑learning–enabled forecasting with cross‑functional partners.

You will work with Demand Planning, Supply Chain, Data, Finance and Systems to improve forecast quality and decision‑ready

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.

Responsibilities

• Develop, improve, and operationalize forecasting methodologies.
• 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 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.
• 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.

Skills

Forecasting methods

SQL

Python/R

Data manipulation

Stakeholder communication

Job description

Ōura is seeking a Forecast Analyst – Demand Planning to strengthen forecasting through better analytics, data integration, and scalable demand methodologies. In this senior individual contributor role, you will translate signals into forecasts, build stronger baselines, and help the organization move toward machine‑learning–enabled forecasting with cross‑functional partners.

You will work with Demand Planning, Supply Chain, Data, Finance and Systems to improve forecast quality and decision‑ready