Business Intelligence Analyst

hace 2 semanas


Madrid, Madrid, España Cameco Corporation A tiempo completo

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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