Business Intelligence Analyst
hace 2 semanas
Cameco Corporation is a leading global provider of uranium fuel needed to energize a clean-air world. We are committed to building a diverse workforce reflective of the communities we operate in.
About Us
Key Lake, located in northern Saskatchewan, is the world's largest high-grade uranium mill. The uranium milled at Key Lake is used for nuclear fuel products, which utilities around the world rely on to generate safe, reliable, emissions-free nuclear power.
The Role
Cameco's business technology services (BTS) department provides vital services to worldwide operations utilizing a variety of technologies to support key operations. We are seeking an enthusiastic, hard-working team-player to join the Business Intelligence team to administer and support various business capabilities. This is a great opportunity to develop skills in a high-demand technology, as well as interact with the business and understand their needs to provide innovative solutions using data modeling and content development. Please note this is an 18-month temporary staff position.
In this role, you will:
Work within a team of technical experts to understand the data requirements and optimize their use within business departments.
Improve business processes and drive innovation using business intelligence software.
Be responsible for developing creative dashboards, front-end visualizations, and data modeling that will provide decision support capabilities to the business.
Participate in an exciting digital transformation journey, as Cameco matures from descriptive to more predictive and prescriptive data analytics.
Required Skills and Qualifications
Bachelor's degree in computer science, data science, statistics, operations research, economics, or mathematics.
Three years of applicable work experience.
Equivalent combination of education and work experience considered.
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.
Ability to work a rotational schedule (Monday to Thursday) and commute to site by aircraft.
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 (Datastage, Apache Airflow, SSIS, or others).
Exposure to predictive analytics, Python, SAS or equivalent (Tensorflow).
Salary Range: $85,000 - $120,000 per year based on qualifications and experience.
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