Senior Data Analyst — Hybrid Analytics for Finance & Ops

Saputo; Dallas (TX); Hybride; USD 90 000 - 130 000; Plein temps

Résumé du poste

Saputo is seeking a Senior Data Analyst, Data Intelligence, to partner with Finance, Sales, Operations, and other business areas. You will translate questions into actionable insights while designing data structures, automated workflows, datasets, and semantic layers for trusted reporting and scalable analytics.

The role requires strong business acumen, advanced SQL skills, and the ability to bridge business stakeholders with technical teams to improve data quality, reporting efficiency, and

Qualifications

• Bachelor's degree in Finance, Economics, Business Analytics, Data Science, Information Systems, Computer Science, Engineering, Mathematics or Statistics.

Responsabilités

• Define reporting requirements, KPIs, analytics use cases, and success measures with Finance, Sales, Ops and stakeholders.
• Translate business questions into analyses, communicating findings, assumptions, limitations and actions.
• Identify trends, anomalies, gaps, and opportunities in data to surface insights beyond standard reporting.
• Support planning, forecasting, variance analysis, and executive reporting with high-quality data.
• Create dashboards, reports, datasets and models for cross-functional teams to evaluate scenarios.

Connaissances

Advanced SQL

Data analytics

Business acumen

Stakeholder comms

Data visualization

Formation

Bachelor's degree in a quantitative field

Outils

Power BI

SQL

Microsoft Fabric

Python

SAP data

Description du poste

Saputo is seeking a Senior Data Analyst, Data Intelligence, to partner with Finance, Sales, Operations, and other business areas. You will translate questions into actionable insights while designing data structures, automated workflows, datasets, and semantic layers for trusted reporting and scalable analytics.

The role requires strong business acumen, advanced SQL skills, and the ability to bridge business stakeholders with technical teams to improve data quality, reporting efficiency, and