Manager - Reporting and Analytics

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Start Date: ASAP
Work Model: Hybrid
Location: Downtown Toronto (outside Union Station – TTC & GO accessible)
Dress Code: Business Casual
A Great Place to Work

Who We Are

Founded in 1993, Kinross is a Canadian-based 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.

Mining responsibly is a priority for Kinross, and we foster a culture that makes responsible mining and operational success inseparable. Our values-based approach ensures that sustainability and our environmental, social and governance commitments are a core part of our strategy and plans for future growth. In line with our values, we also aim to build meaningful partnerships with all of our stakeholders, including communities, shareholders, employees, governments and suppliers.

Kinross maintains listings on the Toronto Stock Exchange (symbol: K) and the New York Stock Exchange (symbol: KGC).

Job Summary

Reporting to the Sr. Director of Data Management and Analytics, the Manager of Reporting, Analytics is responsible for leading the design, implementation, and continuous evolution of Kinross’s reporting, analytics, and enterprise data modelling capabilities. This role plays a central part in the team’s mission to deliver trusted, timely, and business-ready data products across the organization.

The Manager leads a team of analysts, overseeing a broad portfolio that spans self-service BI, certified reporting, day to day analytics, semantic layer development, and the governance of data models that underpin Kinross’s Cloud Data Ecosystem — built on Azure Data Factory, Databricks, and Power BI. Beyond technical delivery, this role acts as a strategic bridge between IT and the business, translating evolving stakeholder needs into scalable analytical solutions and cultivating a data-driven culture across the enterprise.

Job Responsibilities

Reporting & Analytics (35%)

• Lead the evolution of Kinross’s analytics maturity model: expanding beyond descriptive and diagnostic analytics (what happened, why it happened) to enable predictive analytics (what will happen) and prescriptive analytics (what should be done), in close collaboration with the Data Engineering function.

• Define and enforce a certified reporting standard, establishing governance over report creation, publication, and lifecycle management to ensure the organization has a single source of truth for operational and strategic metrics.

• Oversee the design, development, and maintenance of dashboards, reports, and data visualization solutions in Power BI, ensuring accuracy, completeness, and timeliness across all reporting deliverables.

• Implement and manage the Kinross Analytics Framework, defining analytics personas and content strategies tailored to consumers, explorers, and innovators — and delivering specialized enablement and training programs within and outside of IT.

• Promote a self-service analytics culture by enabling business users to independently explore data through governed, user-friendly tools and curated semantic models.

• Act as a strategic liaison between the analytics team and business units, translating data needs into actionable insights and recommendations that support operational and corporate objectives.

• Manage escalated level 2–3 support of Reporting and Analytics applications, ensuring service continuity and a high standard of user experience.

• Stay current with industry trends and emerging technologies in analytics, BI, and AI-assisted reporting, continuously identifying opportunities to enhance the team’s capabilities.

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Data Modelling (35%)

• Establish and lead the Data Modelling capability within the Reporting & Analytics team, defining standards, methodologies, and best practices for semantic and dimensional modelling across the Kinross Cloud Data Ecosystem.

• Own the design and governance of the enterprise semantic layer in Power BI (including datasets, dataflows, and Direct Lake models), ensuring business definitions are standardized, certified, and reusable across reports and analytical use cases.

• Drive the implementation of dimensional modelling patterns (star schemas, snowflake schemas, slowly changing dimensions) within the Kinross Databricks Lakehouse, enabling scalable data products that serve both BI and advanced analytics consumers.

• Collaborate with Data Engineers to align data pipeline outputs with downstream modelling requirements, ensuring fit-for-purpose data structures are available in the Gold layer of the data lakehouse.

• Define and maintain a business glossary and data dictionary, ensuring that metric definitions, KPI logic, and entity relationships are documented, governed, and accessible to both technical and business audiences.

• Evaluate and introduce modern modelling frameworks and tooling (e.g., dbt, Databricks Unity Catalog) to improve model development velocity, testability, and lineage visibility.

Data Governance & Information Architecture (10%)

• Lead initiatives to improve data accessibility, usability, and discoverability for business users across Kinross operations and corporate functions.

• Contribute to the Data Governance program by defining and enforcing data quality standards, ownership policies, and access controls for analytics and reporting domains.

• Oversee the cataloguing of existing data sources and the documentation of data lineage from source systems through the lakehouse layers (Bronze, Silver, Gold) to end-user reports and data marts.

• Champion data literacy across the organization through structured training programs, community of practice initiatives, and the promotion of consistent data standards and definitions.

• Collaborate with the Data Management and CyberSecurity teams to ensure compliance with data privacy, security, and governance requirements across all analytics deliverables.

Application Development & Integration Practices (10%)

• Assess integration and analytics requirements by producing business requirements for data, identifying data sources, and delivering data specifications including mapping, transformation rules, and quality expectations.

• Conduct initial data exploration and profiling activities (binning, pivoting, summarizing, correlation analysis) to validate data fitness for reporting and modelling purposes.

• Collaborate with Data Engineers and the Data Science team to ensure analytics pipelines are aligned with modelling and reporting requirements, and that SDLC processes are consistently followed.

Leadership & Team Management (10%)

• Lead, mentor, and develop a high-performing team of analytics professionals, fostering a culture of curiosity, quality, and continuous improvement.

• Set clear performance goals, provide regular feedback, and create development opportunities aligned with both individual growth and team capability needs.

• Develop project plans, allocate resources, and monitor progress against milestones, proactively managing risks and communicating status to senior stakeholders.

• Evaluate and recommend new tools, technologies, and methodologies to enhance the team’s analytics and modelling capabilities.

• Contribute to the recruitment and onboarding of new team members, ensuring role clarity and a strong start for new hires.

Qualifications and Experience

• Bachelor’s degree in IT, Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field. A Master’s degree is considered an asset.

• Minimum 6+ years of progressive experience in data analytics, business intelligence, or a related field, including at least 2 years in a people management or team lead role.

• Demonstrated experience designing and governing data models (dimensional or semantic) in a modern cloud analytics enviro