← back to jobs
> job detail
S
👽Other

Revenue Analyst

SMART Technologies · Calgary, AB, Canada
// classified as
Other (Adjacent or hard to classify.)
posted
1d ago
location
Calgary, AB, Canada
languages
tools
excel
> stack
excel
> description
About SMART Technologies  At SMART Technologies, we create technology that helps people learn and collaborate. Our interactive displays, software, and collaboration solutions empower millions of students, educators, and businesses around the world.  As we continue to strengthen our commercial operations, we are looking for a highly analytical and business-minded Revenue Analyst to drive forecasting excellence and lead the North American Sales & Operations Planning (S&OP) process.  Position Summary  The Revenue Analyst is responsible for delivering accurate revenue forecasting, facilitating the North American S&OP process, and providing actionable business insights that improve forecast accuracy and operational decision-making.  This role serves as the central point of coordination between Sales, Finance, Supply Chain, Marketing, and Operations to ensure demand forecasts align with inventory planning and revenue expectations. The ideal candidate combines strong analytical skills with excellent business acumen and the ability to influence cross-functional stakeholders.  Key Responsibilities  Revenue Forecasting  Own the weekly, monthly, and quarterly North America revenue forecast.   Partner with Sales Leadership to understand pipeline health, order and sales trends, product and demand drivers.   Build and maintain statistical and sales-driven forecasting models.   Monitor forecast accuracy and continuously improve forecasting methodologies.   Produce executive forecasting reports and dashboards for senior leadership.   Sales & Operations Planning (S&OP)  Lead the monthly North America unit S&OP process.   Consolidate demand forecasts across all product lines and channels.   Collaborate with Supply Chain to align inventory planning and availability with expected demand.   Identify demand trends, supply risks, order fills/backorders, demand changes, and revenue impacts early.   Facilitate S&OP meetings and document actions and decisions.   Business Analysis  Incorporate and align revenue forecasts with unit planning and forecasting, overlaid with trends identified through historical statistical analysis and macro inputs  Analyze sales, run rate, attach rates, inventory availability impacts, and demand trends.   Identify risks and opportunities affecting quarterly revenue attainment.   Recommend actions to improve forecast accuracy and operational efficiency.   Cross-Functional Partnership  Act as the primary Revenue Operations partner for:   North America Sales   Finance   Supply Chain   Product Management   Marketing   Drive alignment between commercial forecasts and operational planning.   Qualifications  Required  Bachelor's degree in Business, Finance, Economics, Supply Chain, Data Analytics, or related field.   3+ years of experience in Sales Operations, Business Analytics , FP&A, Business Analytics, Demand Planning, Revenue Operations or Supply Chain Analytics.   Advanced Microsoft Excel skills.   Experience with CRM platforms.   Strong analytical and quantitative problem-solving abilities.   Self-starter with excellent communication and presentation skills.   Ability to influence without direct authority.   Preferred  Experience leading or supporting an S&OP process.   Experience with Power BI.   Experience in a technology or hardware business.   Key Competencies  Analytical mindset   Business acumen   Forecasting expertise   Financial literacy   Cross-functional collaboration   Executive communication   Process improvement   Attention to detail   Strategic thinking   Continuous improvement mindset   Success Metrics  Success in this role will be measured by:  Forecast accuracy (Monthly & Quarterly)   Revenue forecast variance   S&OP process effectiveness and on-time execution   Inventory alignment with demand   Executive stakeholder satisfaction   Reporting automation and efficiency improvements   Identification and mitigation of revenue risks   Quality and timeliness of business insights