Data Analyst - Data Intelligence

Saputo; United States; On-site; USD 62,000 - 81,000; Full time

Benefits offered by this job

Development opportunities

Meaningful compensation

Community involvement through Saputo

Career growth

Job summary

Saputo Cheese USA Inc. is seeking a Data Analyst, Data Intelligence to partner with Finance, Sales, Operations, and other functions, delivering scalable analytics from SAP and other systems.

You will build models, forecasts, and dashboards using SQL, Python, and Power BI, translating complex data into clear recommendations for business leaders. This role offers exposure to planning, profitability, and supply chain performance, with opportunities to influence decisions and advance your analytics

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Finance, Economics, Operations Research, or a related quantitative field, or equivalent relevant experience.
• One to three years of experience in data science, advanced analytics, finance analytics, FP&A analytics, operations analytics, business intelligence, or a related role.
• Experience building analytical models, forecasts, sensitivity analyses, or scenario-based tools that support business decision-making.
• Experience developing dashboards, visualizations, reports, or other business intelligence outputs, preferably in Power BI.
• Ability to communicate findings clearly, explain assumptions, and translate analysis into business recommendations.

Responsibilities

• Apply machine learning, AI-enabled tools, and automation techniques to streamline repeatable analysis, improve predictive insights, and reduce manual processes where appropriate.
• Build and maintain forecasting, statistical, and analytical models that support financial planning, demand and volume forecasting, profitability, and manufacturing decisions.
• Analyze trends, variances, and performance drivers to identify root causes and provide actionable recommendations to business leaders.
• Investigate performance trends and variances, identify root causes, and translate findings into practical recommendations for business leaders.
• Validate analytical outputs through appropriate quality checks and clearly communicate assumptions, limitations, and business implications.
• Promote consistency in data definitions, business logic, documentation, and dashboarding practices to improve trust and maintainability of analytical outputs.
• Present insights through concise visualizations and business-focused storytelling for technical and nontechnical audiences.
• Use SQL and Python to extract, prepare, integrate, and analyze data from SAP and other enterprise systems.

Skills

Analytical thinking

SQL

Data visualization

Data modeling

Communication

Cross-functional collaboration

Problem solving

Education

Bachelor's degree in a quantitative field

Tools

Power BI

Python

SAP data

Data warehouses

Microsoft Fabric

Job description

At Saputo, we bring good to the table by making high-quality products, investing in our people, and supporting communities around the world . As a top 10 global dairy processor, we value contributions that matter and strive to foster an inclusive, growth-driven work environment. Ready to bring your best?

The Data Analyst, Data Intelligence will serve as an analytics and technical resource supporting Finance, Sales, Operations, and other business functions. Reporting to the Senior Manager, Data Intelligence, this role will partner cross-functionally to support organization wide initiatives turning complex business questions into scalable analytical solutions. This role will have opportunities to directly influence planning, profitability, manufacturing and supply chain performance, and customer service while giving you broad exposure to business leaders and enterprise data.

How you will make contributions that matter...

• Apply machine learning, AI-enabled tools, and automation techniques to streamline repeatable analysis, improve predictive insights, and reduce manual processes where appropriate.
• Build and maintain forecasting, statistical, and analytical models that support financial planning, demand and volume forecasting, profitability, and manufacturing decisions.
• Analyze trends, variances, and performance drivers to identify root causes and provide actionable recommendations to business leaders.
• Investigate performance trends and variances, identify root causes, and translate findings into practical recommendations for business leaders.
• Validate analytical outputs through appropriate quality checks and clearly communicate assumptions, limitations, and business implications.
• Promote consistency in data definitions, business logic, documentation, and dashboarding practices to improve trust and maintainability of analytical outputs.
• Present insights through concise visualizations and business-focused storytelling for technical and nontechnical audiences.
• Use SQL and Python to extract, prepare, integrate, and analyze data from SAP and other enterprise systems.

You are best suited for the role if you…

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Finance, Economics, Operations Research, or a related quantitative field, or equivalent relevant experience.
• One to three years of experience in data science, advanced analytics, finance analytics, FP&A analytics, operations analytics, business intelligence, or a related role.
• Experience building analytical models, forecasts, sensitivity analyses, or scenario-based tools that support business decision-making.
• Experience developing dashboards, visualizations, reports, or other business intelligence outputs, preferably in Power BI.
• Ability to communicate findings clearly, explain assumptions, and translate analysis into business recommendations.

Preferred Qualifications & Technical Skills

• Experience supporting Finance, Sales, Supply Chain, Operations, Manufacturing, or Commercial analytics.
• Familiarity with SAP data, Power BI, Microsoft Fabric, data warehouses, or other enterprise reporting platforms.
• Experience building financial models, sensitivity analysis, scenario planning tools, or decision-support models.
• Hands-on experience with Python for data preparation, analysis, modeling, automation, or statistical analysis.
• Exposure to forecasting, pricing analysis, margin analysis, cost analysis, or operational performance metrics preferred.

Key Competencies

• Strong analytical thinking and attention to detail
• SQL, reporting, dashboarding, data modeling, and data visualization capability
• Business and financial acumen
• Clear communication and storytelling with data
• Cross-functional collaboration and stakeholder partnership
• Curiosity, ownership, and a continuous improvement mindset

We support and care for our employees by providing them with…

• Development opportunities that enhance their career fulfillment.
• Meaningful compensation & benefits that help them care for their families.
• Opportunities to contribute to your community and enhance the lives of others through Saputo products.

Salary Range: $61,820 to $81,140

Salary offers will vary commensurate with experience, education, skills, and training.

In the USA, Saputo ranks among the top three cheese producers and is one of the top producers of extended shelf-life and cultured dairy products, with a portfolio of well-loved brands such as Stella, Frigo Cheese, Montchevre, Stella, and Treasure Cave. We also boast a strong foodservice presence, partnering with reputable chain restaurants and broadline distributors.

Whether your expertise lies in manufacturing, operations, supply chain, sales, quality assurance, or in any other function, your role is integral to our success. You will make contributions that matter, all while working alongside colleagues who genuinely care about your success and who will roll up their sleeves to help.

Accessibility

Saputo Cheese USA Inc. endeavors to make Saputo.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Human Resources at 214-863-2300 or email [e-mail]. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

EEO

Saputo Cheese USA Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you'd like more information on your EEO rights under law, please visit www.EEOC.gov.

California Applicant Privacy Notice (CCPA)

To review the Saputo Cheese USA Inc. Privacy Notice for California applicants, please visit our Corporate website associated section by clicking here (English) or here (Spanish).