Senior Data Analyst - Data Intelligence

Saputo Inc.; Dallas (TX); Hybrid; USD 87,000 - 110,000; Full time

Job summary

Saputo Cheese USA Inc. is seeking a Senior Data Analyst, Data Intelligence, to serve as a hybrid analytics and technical resource across Finance, Sales, Operations, and other functions.

You will translate business questions into insights while designing data structures, automated workflows, and semantic layers to support trusted reporting. The role requires strong business acumen, advanced SQL, and the ability to bridge stakeholders with technical teams to improve data quality, reporting

Qualifications

• Bachelor’s degree in a quantitative or technical field.
• 5+ years in data analytics, BI, or related roles.
• Advanced SQL, data modeling, KPI development, and dashboards.
• Experience delivering dashboards and automated reporting workflows.
• Ability to bridge business needs with data logic and stakeholders.

Responsibilities

• Define reporting requirements, KPIs, analytical use cases, and success measures with stakeholders.
• Translate business questions into analyses and clearly communicate findings and actions.
• Identify trends, anomalies, and opportunities in business data.
• Support planning, forecasting, variance analysis, and executive reporting.
• Create dashboards, reports, datasets, and modeling tools for cross-functional teams.
• Develop analytics standards, reusable assets, and governance practices.
• Promote consistent data definitions and dashboarding practices.

Skills

Advanced SQL

Data analytics

Dashboards

Data modeling

Data visualization

Stakeholder communication

Business acumen

Education

Bachelor’s degree in quantitative field

Tools

Power BI

SQL

Microsoft Fabric

Cloud analytics

Data warehouses

ETL/ELT concepts

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 Senior Data Analyst, Data Intelligence will serve as a hybrid analytics and technical resource supporting Finance, Sales, Operations, and other business functions. Reporting to the Sr. Manager, Data Intelligence, this role will translate business questions into actionable insights while also designing and maintaining the data structures, automated workflows, curated datasets, and semantic layers needed to support trusted reporting and scalable analytics. The role requires strong business acumen, advanced SQL and analytical skills, and the ability to bridge business stakeholders with technical teams to improve data quality, reporting efficiency, and decision support.

How You Will Make Contributions That Matter

Business Analytics, Reporting & Decision Support

• Partner with Finance, Sales, Operations, and other stakeholders to define reporting requirements, KPIs, analytical use cases, and success measures.
• Translate business questions into structured analyses, clearly communicating findings, assumptions, limitations, and recommended actions.
• Proactively identify trends, anomalies, performance gaps, and improvement opportunities in business data, surfacing insights that may not be immediately apparent through standard reporting.
• Support planning, forecasting, variance analysis, executive reporting, and other decision-support activities through high-quality data analysis.
• Use business knowledge and technical understanding to connect reporting needs with the underlying data sources, logic, and transformation requirements.
• Create dashboards, reports, datasets, and modeling tools that allow cross-functional teams to evaluate what-if scenarios and understand the impact of changes in sales, volume, price, margin, cost, inventory, yield, waste, throughput, service, and forecast accuracy.
• Help develop and apply analytics standards, best practices, and reusable assets that support scalable reporting, modeling, and decision-making across functions.
• Promote consistency in data definitions, business logic, documentation, and dashboarding practices to improve trust and maintainability of analytical outputs.

Automation & Data Quality

• Build reusable data assets, automated workflows, and semantic layers that standardize data access and reduce manual reporting effort.
• Implement data quality checks, reconciliation routines, documentation, and governance practices for critical datasets, dashboards, and automated workflows.
• Troubleshoot data issues, perform root-cause analysis, and partner with data engineering, IT, and business teams to resolve source-system, transformation, and reporting discrepancies.

You are best suited for the role if you…

• Bachelor’s degree in Finance, Economics, Business Analytics, Data Science, Information Systems, Computer Science, Engineering, Mathematics, Statistics, or a related quantitative or technical field.
• 5+ years of experience in data analytics, business intelligence, analytics engineering, data engineering, financial analytics, commercial analytics, or a related data-focused role.
• Advanced working knowledge of SQL, data analysis, data modeling, KPI development, reporting models, dashboard development, and data visualization tools such as Power BI or similar platforms.
• Experience delivering dashboards, automated reporting workflows, curated datasets, semantic models, SQL transformations, or reusable data assets used by business stakeholders.
• Ability to bridge business and technical requirements, document assumptions and data logic, manage priorities, and communicate clearly with business users, leadership, and technical partners.

Preferred Qualifications & Technical Skills

• Hands-on experience with Power BI, SAP data, SQL, Microsoft Fabric, cloud analytics platforms, data warehouses, lakehouses, or pipeline orchestration tools preferred.
• Experience supporting Finance, FP&A, Sales, Supply Chain, Operations, or Manufacturing analytics.
• Exposure to Python, ETL/ELT concepts, forecasting, statistical analysis, machine learning, or AI-enabled productivity tools preferred.
• Utilize Microsoft Copilot and other AI-enabled tools to identify workflow efficiencies, automate repetitive analysis or reporting tasks, and improve productivity across data preparation, documentation, and business insight generation.
• Familiarity with data quality practices, governed reporting datasets, semantic models, reusable data assets, and practical data engineering standards.

Key Competencies

• Hybrid analytical and technical problem solving with strong business acumen
• Advanced SQL, reporting, dashboarding, data modeling, and data visualization capability
• Ability to translate business needs into analysis, reporting logic, curated datasets, and automated workflows
• Data quality, documentation, governance, troubleshooting, and process improvement mindset
• Collaborative partnership with business stakeholders, data engineering, IT, and leadership teams
• 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: $87,000 to $110,000

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).