Job Description

Start Date ASAP

Hybrid Work Environment (3 days in office, 2 days 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. , Kinross committed to a greenhouse gas reduction action plan as part of its , 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.

Purpose of Role

Reporting to the Director of Development, Integration and Analytics, the incumbent will be a key member of the IT team, focusing on Business Intelligence, Reporting and Analytics.

The Data Solutions Analyst is expected to use a combination of Business and IT skills, ETL and reporting tools, contributing to the design and implementation of solutions that will enable our business to have quick access to information. Knowledge of data processing, data modelling, analytics, data visualization and reporting is required.

Key Duties & Responsibilities

1. Business Intelligence, Reporting and Analytics (50%)

• Support the implementation and roll out of the Operations Data Management platform (Connected Mine) which will integrate with existing Mining systems in order to rapidly deploy data, reduce manual reporting and augment overall decision making.
• Assist with executing on a five-year roadmap to guide Kinross\'s evolution to a data-driven company through a data literacy program.
• Support the implementation of a Data Landing Zone (Azure Cloud), addressing requirements technology, systems architecture, data governance, people, and other foundational elements.
• Support the implementation of a Self-Service approach for Analytics by leveraging simple-to-use tools as well as enabling and encouraging less-technical users to perform analysis and generate content on their own.
• Ability to work both with analytics subject matter experts and with business stakeholders; skill in understanding and solutioning business challenges, and in translating between the languages of business and analytics.
• Ensure that new initiatives are enabled with effective data reporting.
• Provide level 1-2 support of Business Intelligence applications.
• Continuous improvement of Business Intelligence solutions.

2. Application Development and Integration Practices (30%)

• Work closely with the Sr. Data Solutions Engineer, Sr. Data Solutions Analyst and Lead Developer to execute all activities related to the development, management and support of traditional Extract, Transform and Load (ETL) batch processes, and real time data.
• Ability to perform information management assessments such as integration scoping: produce business requirements for data, identify data sources and deliver data specifications (mapping, rules, transformation, etc.) and accurately estimate the development and implementation effort.
• Analysis of data sources and initial data exploration steps (binning, pivoting, summarizing and finding correlations, for example).
• Question and validate business requirements, ensuring that development and integration work is fit-for-purpose to meet real business needs, and that meaningful change is prioritized over nice-to-have items.
• Act as bridge and translator between business and technical data SMEs, and guide requirements conversations through a structured approach that builds business confidence in the process.
• Ensure that software development lifecycle (SDLC) processes related to data, analytics and integration are properly established and followed.
• Collaborate with others to automate processes and ensure appropriate ongoing access to data.

3. Information & Data Architecture (10%)

• Assist cataloguing existing data sources and document the flow and transformation of data from source through data repositories and to end user data marts or applications.
• Assist with implementation and/or reimplementation of tools and technologies to support data & analytics strategy.

4. Data Science (10%)

• Assist in introducing Data Science concepts within the organization and play a central role in all stages of the data science project life cycle, including the identification of suitable data science project opportunities, partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and requirements collection.

Minimum Qualifications & Experience

• Bachelor\'s degree in IT, Math, Statistics, Engineering, Geology and / or a related field.
• 2-5 years of technology design and implementation in one or more of the following areas: Business Intelligence, ETL, Data Warehousing, Reporting and Analytics.
• Fluent in Spanish, Portuguese, French or Arabic is considered an asset.

Required Technical Knowledge

• Strong knowledge of Power BI and/or other visualization tools.
• Strong knowledge of data lifecycle management concepts.
• Understanding of data warehouses, data marts and dimensional data models.
• Strong understanding of reporting and analytics tools & techniques, SDLC methodologies & practices.
• Broad experience in data warehouse and business intelligence tools (BI, ETL, Change Data Capture, Slow Changing Dimensions, Data Quality, Cleansing, etc.).
• Previous experience with ERP Solutions is considered an asset.
• Previous experience with Database Administration is considered an asset.
• Technologies:

• Mandatory: Power BI, SQL Server, SSIS
• Recommended: Azure Cloud solutions (Synapse Analytics, Synapse Studio, Data Lake Storage) Oracle JD Edwards, Connected Mine

Required Behavioural Competence

• Communication - demonstrated strength in communicating with internal and external customers, vendors, project teams and senior management. Strong ability to build relationships, work collaboratively, and resolve problems with people at all levels of the organization.
• Flexibility - the ability to adapt to changing conditions and priorities, to use feedback from the team and the broader organization to change course if it is deemed necessary. Willingness to learn both in Business and IT areas.
• Innovation - willingness to embrace new, improved and unconventional ways to address business and technical issues and opportunities.
• Accountability - ownership of what is being worked on as well as willingness to take credit, accept and learn from failures when applicable.
• Travel - Willingness to travel up to 15%.

Our Approach to COVID-19

In response to the COVID-19 Pandemic and in alignment with our health and safety standards, all Kinross Gold Corporation employees working from the Toronto office, must be fully vaccinated with at least two doses of an approved vaccine. If offered this position, you must show proof of vaccination prior to being hired. Masks are not mandated in the office, however, employees are encouraged to wear a mask if they are more comfortable doing so. Kinross reserves the right to update its vaccination policy/requirements at any time at its sole discretion.

Kinross Gold Corporation