Data Analyst
7 days ago
**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. 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.
**Purpose of Role**:
Reporting to the Manager, Reporting & Analytics, the incumbent will be a key member of the IT team, focusing on Business Intelligence, Reporting and Analytics. The Data 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 report building is required.
**Key Duties & Responsibilities**:
**1. Business Intelligence, Reporting, and Analytics (60%, up to 100%)**
- Provide ongoing support for BI, reporting, and analytics using Power BI as the company's primary global reporting platform
- Support the implementation and roll out of the Operations Data Management and Reporting platform (Connected Mine) which will integrate with existing Mining systems 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 the Kinross Cloud Analytics platform (Azure, Databricks, Fabric), addressing requirements technology, systems architecture, data governance, people, and other foundational elements.
- Promote 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.
- Ensure that new initiatives are enabled with effective data reporting.
- Continuous improvement of Business Intelligence solutions.
**2. Application Development, and Integration Practices (20%)**:
- Work closely with the Sr. Data Solutions Architect, 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 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 Computer Science, Math
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