Start Date May 2025 

Contract 4 months (Paid)

Hybrid: 3 days in office; 2 days work remote with flexible hours

Dress Code: Business Casual

Location: Downtown Toronto, Outside of Union Station (TTC & GO accessible)

A Great Place to Work

 

Who We Are

 

Kinross is a Canadian-based global senior gold mining company with operations and projects in the United States, Brazil, Mauritania, Chile and Canada. Our focus on delivering value is based on our four core values of Putting People First, Outstanding Corporate Citizenship, High Performance Culture, and Rigorous Financial Discipline. Kinross maintains listings on the Toronto Stock Exchange (symbol:K) and the New York Stock Exchange (symbol:KGC). 

 

Mining responsibly is a priority for Kinross, and we foster a culture that makes responsible mining and operational success inseparable. In 2021, Kinross committed to a greenhouse gas reduction action plan as part of its Climate Change strategy, reached approximately 1 million beneficiaries through its community programs, and recycled 80% of the water used at our sites. We also achieved record high levels of local employment, with 99% of total workforce from within host countries, and advanced inclusion and diversity targets, including instituting a Global Inclusion and Diversity Leadership Council. 

 

Eager to know more about us? Visit Home - Kinross Gold Corporation

 

Purpose of Role

The Data Analytics intern will assist the Data Management & Analytics team (within the Kinross Corporate IT department) with projects related to mining operations and supporting key business initiatives. The intern will play a significant role on the design and development of business intelligence (BI) reporting solutions and contribute to various ad-hoc projects in collaboration with departments and mine site/project teams.

Job Responsibilities Work closely with the Manager, Reporting & Analytics to build data visualization solutions, primarily using Power BI Document and analyze data flows from source systems through repositories to end-user data marts or applications Promote self-service analytics by empowering less-technical users to create reports and perform analyses independently Assist with data discovery for mine-related systems such as: Dispatch, Historian, Ore Production, etc. Support the implementation of the new Kinross Analytics Framework Qualifications and Skills Enrolled in a 2nd or 3rd year Business, Math, Statistics, Engineering, Science, or related program at an accredited college or university Reporting and data visualization tools such as Power BI will be considered a significant asset Knowledge of SQL, Python, and Databricks will be considered a very strong skill set Strong communication and interpersonal skills for working with diverse stakeholders; a high degree of professionalism is required Excellent organizational and documentation skills with great attention to detail Strong analytical and problem-solving skills with a passion for data-related activities such as: data discovery, data management, data engineering, data governance, data visualization, and data modeling Exposure to business intelligence tools and techniques, as well as experience with technical documentation