Sr. Analyst, Supply Chain Data & BI

Job Category: Information Technology Location: Saskatoon Work Contract: Reg Full-Time (K1) At Cameco we understand the value of a diverse workforce and we embrace, encourage and support workplace inclusion and diversity. New ideas, perspectives, experiences, and expertise make Cameco stronger. We are committed to building a diverse workforce reflective of the communities we operate in. Our vision is to create a culture where inclusion is the goal, and a diverse and representative workforce is our measure of success. Cameco is committed to providing an inclusive selection process, free from systemic barriers. support employment equity and encourage all members of underrepresented groups (i.e., women, Indigenous peoples, persons with disabilities and members of racialized groups/visible minorities) to voluntarily disclose. Cameco welcomes applicants from all backgrounds, abilities, and experiences to apply. About Us Cameco is one of the largest global providers of the uranium fuel needed to power a secure energy future. Utilities around the world rely on our nuclear fuel products to generate safe, reliable, emissions-free nuclear power. Cameco’s corporate office is based in Saskatoon. We have mining operations and projects in northern Saskatchewan, Kazakhstan, the United States and Australia. We are also a leading supplier of uranium refining, conversion, and fuel manufacturing services from our operations in Ontario. The Role Cameco’s business technology services (BTS) department provides vital services to world-wide operations utilizing a variety of technologies to support key operations. We are looking for an enthusiastic, hard-working team-player to join the Business Intelligence team to administer and support the operational data needs of our Supply Chain department. This is a great opportunity to develop skills in a high demand technology, as well as to interact with the business and understand their needs to provide innovative solutions using data modelling and content development. In This Role, You Will Work within a team of technical experts to understand the data requirements and optimise their use within supply chain management. Improve business processes and drive innovation using business data and analytics. Be responsible for developing creative dashboards, front-end visualizations and data modelling that will provide decision support capabilities. Be part of an exciting digital transformation journey, as Cameco matures from descriptive to more predictive and prescriptive data analytics. Required bachelor’s degree in computer science, engineering, data science, statistics, operations research, economics, or mathematics; experience with SAP in the following areas: Supply Chain, Plan to Pay, Materials Management and Finance; minimum eight years of applicable work experience; strong knowledge of data visualization best practices and techniques; experience with data curation, report creation, key performance indicator (KPI) development and statistical analysis; analytical skills, including strong SQL query knowledge; and self starter and ability to understand business need and execute work independently. Recommended experience working with an enterprise data warehouse – BigQuery, Azure or equivalent; experience with business reporting tools – Power BI, Looker, Tableau, SSRS or equivalent; experience with ETL tools (Dataform, Apache Airflow, SSIS, or others); experience working with SAP technologies – S/4 HANA, CDS views, SAP Analytics Cloud; and exposure to predictive analytics, Python, SAS or equivalent. Conditions Of Employment background check. Cameco is proud to offer a competitive total reward package which includes: competitive compensation program with base and variable pay; flexible health, drug, dental, and vision plan with a health spending and personal spending account; fixed benefits including employee and dependant life, AD&D, disability benefits and paid vacation leave; Employee and Family Assistance Programs; RRSP and RPP matching program; career development opportunities; and relocation costs. Cameco is an employment equity employer and aims to achieve gender parity, and as such, preference will be given to qualified members of equity groups. We are strengthened by the diverse backgrounds of experiences and encourage applicants with various levels of expertise to apply, as equivalent combination of education and work experience are considered. This position is eligible for the employee referral bonus. Req ID #: 42027 Posted: July 23, 2026 Posting end date: August 6, 2026 Salary Range: $103,000 – 129,000* Disclaimer: This information is presented as the company’s good faith and reasonable estimate of the total rewards provided for this position. The compensation offered to the successful candidate will be based on the individual’s education, skills and experience, as well as internal equity considerations. The physical and psychological safety of our employees is a top priority at Cameco. We invite candidates to voluntarily disclose accommodation requirements, if contacted in relation to a job opportunity. Information received will be addressed confidentially and Cameco’s Workplace Inclusion and Accommodation Program document is available upon request. Successful candidates for all positions that will work at Safety Sensitive Sites or Safety Sensitive Positions must take and pass a Substance Test, which includes marijuana, as a condition of employment. Marijuana remains in a user’s system for about 30 days, so applicants who recently used marijuana recreationally should not expect to pass a substance test.

Administer and support operational data needs for the Supply Chain department by developing creative dashboards and front-end visualizations. The role involves optimizing data use and driving innovation through predictive and prescriptive analytics to support business decision-making.

Requires a bachelor's degree in a quantitative field and at least eight years of applicable work experience, specifically with SAP modules. Candidates must possess strong SQL skills and expertise in data visualization and statistical analysis.

• Competitive compensation program with base and variable pay • Flexible health, drug, dental, and vision plan • Health spending and personal spending account • Employee and dependant life insurance • AD&D • Disability benefits • Paid vacation leave • Employee and Family Assistance Programs • RRSP and RPP matching program • Career development opportunities • Relocation costs

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Visualization
• SQL
• SAP
• Data Modelling
• KPI Development
• Statistical Analysis
• Data Curation
• Report Creation
• Supply Chain Management
• ETL
• Power BI
• Python
• BigQuery
• Azure
• S/4 HANA
• Predictive Analytics

• Data & Analytics
• Technology
• Logistics
• Energy
• Engineering

Formation minimale

Baccalauréat

Expérience minimale

5+ ans

Postuler avant le

22 août 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level