About Sault Ste. Marie: A welcoming and vibrant community of 78,000, Sault Ste. Marie provides an affordable, active lifestyle in the heart of the Great Lakes. What you’ll find here is a great career and even greater quality of life that offers short commute times and quick access to world class cultural and natural amenities. For more information, visit welcometossm.com.
The PUC Group of Companies (PUC) operate multiple utilities within Ontario that manage the supply and transmission of electricity, the supply, treatment and distribution of drinking water, and the operation of wastewater treatment facilities.
A nationally recognized leader in the utility sector, PUC is dedicated to supporting the communities we serve through curiosity, innovation, and growth. More than ever, our focus is on a sustainable PUC that is developing strategies to lower our carbon footprint, support community and economic development, and maintain exceptional customer service.
PUC offers a dynamic, challenging and rewarding work environment that encourages collaboration and innovative thinking. The ideal candidate will have demonstrated the necessary skills and experience in manipulating and extracting data from various data sources, reporting and good communication skills.
Reporting to the Manager, Innovation and Technology, the Business Intelligence Specialist will be responsible for collecting, processing, and analyzing data to help the organization make informed decisions, improving business processes.
Responsibilities:
• Responsible for gathering data from various sources, including databases, APIs, and external sources.
• Ensure data accuracy and completeness.
• Collaborate with cross-functional teams to design, implement, and monitor both new and existing key performance indicators (KPIs) that align with organizational goals.
• Respond to inquiries and requests for information from staff in a timely manner.
• Work closely with leadership teams to create data strategies that support data modeling.
• Analyze software products and technologies and make recommendations to influence technical direction.
• Build reporting and analytics to support business processes.
• Apply statistical techniques and analytical methods to interpret data.
• Identify trends, patterns, and correlations that provide insights into business performance.
• Create visualizations (charts, graphs, dashboards) to effectively communicate findings.
Qualifications:
• Bachelor’s degree in relevant fields such as computer science, statistics, mathematics, data science, economics.
• Minimum of three to five years of progressive experience in data analytics.
• Skills in manipulating and analyzing large datasets using Python, SQL.
• Understanding of database systems and query languages.
• Demonstrated ability to work with large datasets independently.
• Experience building self service dashboards in Power BI or other BI tools.
• Experience in building queries, automating reporting and building analytics.
• Ability to work in a collaborative team environment.
• Demonstrated willingness to learn and adapt to new challenges.
• Ability to think critically and solve complex problems using data-driven approaches.
• Strong verbal and written communication skills to explain technical findings to non-technical stakeholders.
Resumes stating qualifications and experience will be accepted via email to [email protected], by November 28th, 2024, quoting the job title noted above.
We are an equal opportunity employer and encourage diversity in our workplace. Accommodation is available for applicants upon request.
We thank all applicants for their interest however, only those candidates that are selected for an interview will be contacted.
