Data Analyst - Data Intelligence
Role Overview
The Data Analyst, Data Intelligence serves as an analytics and technical resource for Finance, Sales, Operations, and other business functions.
The role partners across functions to turn complex business questions into scalable analytical solutions that inform planning, profitability, manufacturing, supply chain, and customer service.
Key Skills for This Role
Full Job Posting
Role overview
The Data Analyst, Data Intelligence serves as an analytics and technical resource for Finance, Sales, Operations, and other business functions.
The role partners across functions to turn complex business questions into scalable analytical solutions that inform planning, profitability, manufacturing, supply chain, and customer service.
Responsibilities
- Apply machine learning, AI-enabled tools, and automation to streamline repeatable analysis and improve predictive insights where appropriate.
- Build and maintain forecasting, statistical, and analytical models for financial planning, demand and volume forecasting, profitability, and manufacturing decisions.
- Analyze trends, variances, and performance drivers to identify root causes and recommend actions.
- Validate analytical outputs and communicate assumptions, limitations, and business implications.
- Promote consistency in data definitions, business logic, documentation, and dashboarding practices.
- Present concise visualizations and business-focused analysis to technical and nontechnical audiences.
- Use SQL and Python to extract, prepare, integrate, and analyze data from SAP and other enterprise systems.
Qualifications
- Bachelor's degree in a listed quantitative field or equivalent relevant experience.
- One to three years of relevant data science, analytics, finance, operations, or business intelligence experience.
- Experience building analytical models, forecasts, sensitivity analyses, or scenario-based decision tools.
- Experience developing dashboards, visualizations, reports, or other business intelligence outputs; Power BI is preferred.
- Ability to communicate findings, explain assumptions, and translate analysis into business recommendations.
Preferred qualifications and competencies
- Experience supporting Finance, Sales, Supply Chain, Operations, Manufacturing, or Commercial analytics is preferred.
- Familiarity with SAP data, Power BI, Microsoft Fabric, data warehouses, or enterprise reporting platforms is preferred.
- Python experience and exposure to forecasting, pricing, margin, cost, or operational performance analysis are preferred.
- Key competencies include analytical thinking, attention to detail, SQL, reporting, dashboarding, data modeling, visualization, business and financial acumen, communication, collaboration, ownership, and continuous improvement.
Salary
- The stated salary range is $61,820 to $81,140; offers vary with experience, education, skills, and training.
Employee support
- The employer mentions development opportunities, compensation and benefits, and opportunities to contribute to the community.
About Saputo
Saputo describes itself as a global dairy processor and notes its U.S. cheese, extended shelf-life, cultured dairy, and foodservice businesses.
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