Career Opportunities: Operational Data And Business Intelligence Analyst (40450) Quedan 3 Días

Detalles de la oferta

.Career Opportunities: Operational Data and Business Intelligence Analyst (40450)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.About UsKey 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. Cameco is one of the largest global providers of the uranium fuel needed to energize a clean-air world.The RoleCameco'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 various business capabilities. 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.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 optimise their use within the business departments.Improve business processes and drive innovation using business intelligence software.Be responsible for developing creative dashboards, front-end visualizations and data modelling that will provide decision support capabilities to the business.Be part of an exciting digital transformation journey, as Cameco matures from descriptive to more predictive and prescriptive data analytics.Have a growth opportunity with potential to progress your career in the field of business intelligence.Required: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.Work a rotational schedule (Mon to Thurs) 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).Experience working with SAP products – S/4 HANA, CDS views, SAP Analytics Cloud.Exposure to predictive analytics, Python, SAS or equivalent (Tensorflow).Conditions of Employment:- Substance Test


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