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Analyst, Enterprise Data & BI

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Job Order #: 6290682

NOC: 21221
Employer Name:
Cameco Corporation-Saskatoon
Posted Date:
02-Apr-2026
Location:
SASKATOON
 
# of Positions:
1
Employment Terms:
Full-Time
Apply By:
16-Apr-2026
How to Apply?:
https://career17.sapsf.com/sfcareer/jobreqcareer? jobId=42027&company=Cameco

Application Information

Employer Name:
Cameco Corporation-Saskatoon
Employer Address:
 
2121 11TH ST W
SASKATOON,SK
CANADA
S7M1J3
Contact Phone:
.
Employer Website:
https://career17.sapsf.com/sfcareer/jobreqcareer?jobId=42027&company=Cameco


Description

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.
-Work a hybrid schedule at Camecos Saskatoon head office.

Required:
-bachelors 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 five 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.

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