Demand Planning Lead Data Analyst (Supply, Demand & Inventory)

Demand Planning Data Analyst (demand, supply & inventory)

Position Overview

You will play a critical role in ensuring accurate forecasting and demand visibility across the global supply chain function. Supported by the central Data Analytics team, you will interpret the data, providing the story around the data, enabling the senior management teams to make the appropriate data led planning decisions.

Leveraging advanced analytics, statistical modelling, and automation to improve forecast accuracy and enable data-driven demand planning decisions. You will see behind the data, identifying trends and importantly the inter-related knock-on effects of changes, enabling insightful proactive decision making.

You will be responsible for collecting, analysing, and interpreting large sets of data to support demand planning, improve forecast accuracy, and provide actionable insights that drive business decisions.

Why Apply?

This is a critical sole contributor role, with high visibility across the planning function. You can shape this functions outputs, driving optimisation and accuracy within planning process, which will make a direct and tangible difference within the wider SC & planning functions. This role will make a difference, within a successful, fast paced, global business.

This is a new role, so you can shape it and make it your own.

This is a unique role where you have a specific blend of skills. Strong analytical skills, where you love manipulating data to find the answers within planning. You will have experience directly within a demand planning function, so you understand how the function operates. Enabling you to interpret the data and what the interdependencies or knock-on effects of changes within this data mean within the planning function (supply, demand & inventory).

You enjoy collaborating with cross-functional teams across the business and at a senior level within the company, adapting your communication style accordingly. You will have high levels of influencing skills.

Fantastic company culture, which is people centric and highly supportive. This is a highly visible role, in a company where success is rewarded.

Key Responsibilities

Collect, cleanse, and analyse sales, inventory, and market data to support demand planning activities.

Develop and maintain demand forecasts at multiple levels of aggregation (SKU, region, customer, product family).

Collaborate with Sales, Finance, and Supply Planning 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 when needed.

Build and maintain dashboards, reports, and planning models to improve data visibility and support decision-making.

Support the monthly S&OP (Sales & Operations Planning) and IBP (Integrated Business Planning) processes with accurate data, analysis, and presentations.

Identify demand drivers and market shifts that may impact forecasting and supply chain performance.

Assist in continuous improvement of planning tools, processes, and methodologies.

Ensure data integrity and accuracy across planning systems and reports.

Continuously research and apply new forecasting methodologies, statistical techniques, and technologies to improve demand planning capabilities

Qualifications

Bachelor’s degree in Supply Chain Management, Business, Data Analytics, Statistics, or related field.

2–5 years of experience in demand planning, forecasting, or data analysis (supply chain environment preferred).

Strong analytical skills with proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau).

Knowledge of forecasting methods (time series, regression, ARIMA, Prophet, machine learning techniques).

Experience with demand planning systems (e.g., Kinaxis Maestro - formerly known as RapidResponse, SAP IBP, Anaplan, o9, or similar).

Solid understanding of supply chain processes and statistical models.

Ability to interpret large datasets and communicate insights clearly to non-technical stakeholders.

Strong collaboration and communication skills with cross-functional teams.

Detail-oriented, organized, and able to manage multiple priorities.

Preferred Skills

Experience with statistical forecasting techniques (time-series, regression, 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