Data Analyst (Term)
Bruce Power, Canada
Bruce Power
Job Posting Start Date:
2025-05-22Job Posting End Date:
2025-06-05At Bruce Power, you’ll experience the meaningful work of advancing Ontario’s clean energy future and medical isotope innovation while contributing to a culture of excellence. Step into an inclusive and dynamic environment that values collaboration, encourages bold ideas and empowers you to make a real difference.
From safely delivering clean, reliable power to families and businesses across the province and cancer-fighting medical isotopes around the world to supporting challenging and innovative nuclear projects like our multi-year Life Extension Program, we offer interesting and impactful opportunities. Ongoing training and development are part of every job, providing constant growth and skill-building potential.
Be a part of the team — our future is bright!
Currently, our Outages and On-line Work Management division has a Data Analyst opportunity. Under the direction of the Section Manager, the Data Analyst will develop analytics based on Corporate, Divisional and Departmental objectives with input from Senior Management and translate data driven insights into clear and concise communications detailing recommended actions & decisions. This role is expected to have a mixture of multi-disciplinary skills ranging from an intersection of mathematics, statistics, computer science, communications, and business.
This is a term position which may be for a period of up to 60 months, offers a competitive compensation package and is located on-site in Tiverton, Ontario.
Key Responsibilities:
- Develop, recommend, and monitor solutions derived from data analytics mined from various information management systems and external data sources.
- Collaboratively work with business users, support staff, consultants, and suppliers to identify opportunities for efficiencies that may result in automation of processes, artificial intelligence, and other solutions.
- Influence others to drive opportunities and gain efficiencies in processes to enable more data to be captured and mined for future analytical purposes.
- Develop solutions from data and information to better enable the organization in making effective decisions.
- Monitor and continually identify and develop solutions following the implementation of systems, controls, and business recommendations.
- Develop and assess the impact of new business opportunities to drive continual business improvement solutions.
- Develop and recommend demand forecasts based on research and analysis.
- Create succinct, graphical presentations with analytical solutions and effectively communicate to management.
- Keep abreast of current big data and analytical methodologies and develop expertise in emerging technologies and methodologies.
- Maintain awareness of newly implemented analytically driven solutions and consult on strategies for exploiting opportunities.
- Data Cleaning and Preparation: Filter data, handle missing values, and prepare datasets for analysis to ensure accuracy and relevance
- Data Visualization: Create visual representations of data to communicate findings effectively to stakeholders
- Statistical Analysis: Perform statistical analyses to identify trends, patterns, and correlations within data
- Collaboration with Data Scientists and Engineers: Work with data scientists and engineers to implement predictive models and automate data processing tasks
- Reporting and Documentation: Document analytical processes and create detailed reports for various stakeholders
- Perform other duties as required.
Knowledge and Skills:
- Requires knowledge of analytics and business processes, including principles of business systems, quantitative methods, statistics, and forecasting methodology.
- Must be able to interpret and coordinate information and processes associated with mined data and information.
- Requires proficiency in English, both oral and written, to communicate effectively and prepare models, reports, proposals, and presentations.
Education and Experience:
- This knowledge is considered to be gained by completion of a four (4) year university degree in Analytics, Mathematics, Statistics, Information Technology, Computer Engineering, Software Development, Artificial Intelligence.
- Requires experience in a commercial environment with applied statistical and analytical skills and knowledge of business intelligence methodologies.
- Requires experience with common data science toolkits and applications, along with proficiency in using query languages and data governance.
- Requires practical experience to understand business processes.
- Requires a flexible and responsible approach to work, high self-motivation, and a high degree of personal initiative and creativity.
- Requires excellent team working skills.
- 2 to 4 years of experience is considered necessary to gain this experience.
Are you ready for a change?
Please complete the online application and attach a cover letter and resume, indicating your education and experience as it relates to this opportunity. We look forward to receiving your application and will be in contact with you, should you be selected for an interview.
The successful candidate will be selected based on related and required education, experience, knowledge and skills, a competency-based interview, and background reference checks.
As one of Canada’s Best Diversity Employers, Bruce Power is committed to promoting a culture of diversity, equity and inclusion where workers feel valued for their uniqueness and are recognized for their individual differences, talents and skills. Diversity, equity and inclusion is critical to our business as we recognize that our people are our greatest resource. To support our inclusive workplace culture, we welcome and encourage everyone to apply.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Business Intelligence Computer Science Data Analytics Data governance Data visualization Engineering Mathematics Research Statistics
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Startup environment
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