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Data Solutions Analyst - Toronto

Job Field:
Information Systems Jobs
Application Development/Software Jobs, Data Analyst Jobs, Infrastructure Jobs
Contract Type:
Full Time / Permanent
Salary Description:
on application
Kinross Gold
Job Ref:

Location: Toronto, Ontario, Canada

The Kinross Corporate Head Office is located in downtown Toronto and supports Kinross operations and projects worldwide. Corporate functions include Finance, Procurement, Health & Safety, Human Resources, IT and Investor Relations.

Job Description

Reporting to the Sr. Manager of Development, Integration and Analytics, the incumbent will be a key member of the IT team, focusing on application development and data integration as well as analytics (BI).

The Jr. Data Solutions Engineer 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.

Job Responsibilities

Application Development and Integration Practices (60%)

  • Work closely with the Sr. Data Solutions Engineer 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.
  • Ensure that appropriate controls are established and all data is secure at all times.
  • Collaborate with others to automate processes and ensure appropriate ongoing access to data

Business Intelligence (20%)

  • Support the implementation of the BI roadmap.
  • Ensure that new initiatives are enabled with effective data reporting.
  • Actively promote the standard reporting and analytics architectures throughout the company.
  • Provide level 1-2 support of Business Intelligence applications.
  • Develop & deliver specialized end-user training to ensure effective data & analytics utilization.
  • Continuous improvement of Business Intelligence solutions.

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.
  • Prepare the exploratory data analyses, proof-of-concept modeling, and business cases necessary to generate partner consensus and internal support for potential opportunities
  • When applicable establish and communicate the vision and status of data science projects
  • Identify relevant data sources from various internal and external sources.

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.
  • Promote data literacy and analytics skills within the broader organization (within and outside of IT).

Education and Experience

Minimum Qualifications & Experience

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

Required Technical Knowledge

  • Strong understanding of SDLC methodologies & practices.
  • Strong understanding of reporting and analytics tools & techniques.
  • Strong knowledge of data lifecycle management concepts.
  • Broad experience in data warehouse and business intelligence tools (BI, ETL, Change Data Capture, Slow Changing Dimensions, Data Quality, Cleansing, etc.).
  • Understanding of data warehouses, data marts and dimensional data models.
  • Previous experience with ERP Solutions is considered an asset.
  • Previous experience with Database Administration is considered an asset.
  • Technologies:
  • Mandatory: MicroStrategy (preferred) or comparable BI Solution, SQL Server, SSIS
  • Recommended: Oracle JD Edwards, SAP Business Objects, Active Batch, DBMoto Replication, DB2 

Closing Date and Additional Information

Travel – Willingness to travel up to 15%

Closing date October 3, 2018


Kinross is a Canadian-based gold mining company with mines and projects in Canada, the United States, Brazil, Chile, Russia, Ghana and Mauritania, employing approximately 9,300 people worldwide. Our core purpose is to lead the world in generating value through responsible mining.

Closing Date:

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