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# Data Analyst - Data Intelligence

- **Company:** Saputo Inc.
- **Location:** Dallas, TX, United States
- **Experience:** Starter
- **Salary:** $61,820.0 - $81,140.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Business Logic, Data Visualization, Data Warehousing, Data Intelligence, Python (Programming Language), Machine Learning, Power BI, SAP (Applications), SAP NetWeaver Data Management, SQL Databases, Enterprise Data Management, Microsoft Fabric, Information Technology
- **Published:** October 8, 2026
- **Apply:** https://saputo.wd5.myworkdayjobs.com/Saputo_External_Careers/job/Dallas-TX/Data-Analyst---Data-Intelligence_JR67451

## About the Role

* 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

## Description

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.