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As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact.
Are you ready to make a significant impact on supply chain operations? We are seeking a skilled Demand Planning Data Analyst to leverage advanced analytics, statistical modeling, and automation to improve forecast accuracy and enable data-driven demand planning decisions. Join our team to play a critical role in driving business decisions, improving forecasting processes, and collaborating with cross-functional teams to ensure seamless supply chain performance.
How You Will Contribute
* Collect, cleanse, and analyze sales, inventory, and market data to support demand planning activities.
* Develop and maintain demand forecasts at multiple levels of aggregation, including SKU, region, customer, and product family.
* Collaborate with Sales, Finance, and Supply Planning teams to gather inputs and align on consensus forecasts.
* Conduct root cause analysis of forecast errors and identify demand drivers through advanced analytics.
* Monitor demand trends, forecast accuracy, and key performance metrics, recommending adjustments as needed.
* Build and maintain dashboards, reports, and planning models to enhance data visibility and support decision-making.
* Support monthly S&OP (Sales & Operations Planning) and IBP (Integrated Business Planning) processes with accurate data, analysis, and presentations.
The Must Haves
* Strong analytical skills with proficiency in Alteryx
* Bachelor’s degree in Supply Chain Management, Business, Data Analytics, Statistics, or a related field.
* 7+ years of experience in demand planning, forecasting, or data analysis within a supply chain environment.
* Strong analytical skills with proficiency in Excel, SQL, and data visualization tools such as Power BI or Tableau.
* Knowledge of forecasting methods including time series, regression, ARIMA, Prophet, and machine learning techniques.
* Experience with demand planning systems such as Kinaxis Maestro, SAP IBP, Anaplan, O9, or similar tools.
* Solid understanding of supply chain processes and statistical models.
* Ability to interpret large datasets and communicate insights effectively to non-technical stakeholders.
Nice To Haves
* Experience with statistical forecasting techniques such as time-series, regression, and machine learning.
* Familiarity with Python or R for advanced analytics.
* Exposure to S&OP and IBP processes and best practices.
* Industry experience in high tech.
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At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination.
Ciena is an Equal Opportunity Employer, including disability and protected veteran status.
If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Management and Manufacturing
Industries
* Telecommunications
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