RPA Business Systems Analyst (BSA)
Role Overview
Experienced RPA Business Systems Analyst focused on Business Intelligence, Automation, and Data Analytics.
Design, develop, and maintain reporting and automation solutions while partnering with business stakeholders to support data-driven decisions.
The posting states Contract (Hybrid), lists Toronto, ON, and notes an immediate requirement.
Key Skills for This Role
Full Job Posting
Position summary
Experienced RPA Business Systems Analyst focused on Business Intelligence, Automation, and Data Analytics.
Design, develop, and maintain reporting and automation solutions while partnering with business stakeholders to support data-driven decisions.
The posting states Contract (Hybrid), lists Toronto, ON, and notes an immediate requirement.
Key responsibilities
- Design, develop, and maintain interactive, self-service dashboards and reporting solutions using Power BI, Power Automate, Power Apps, and other BI and automation tools.
- Analyze data to identify trends, patterns, and opportunities for business optimization.
- Turn complex data findings into stories, dashboards, and presentations for senior leadership and business partners.
- Ensure data accuracy, consistency, governance, and quality across reporting solutions and dashboards.
- Support ad hoc reporting requests and provide guidance on BI and reporting best practices.
- Combine and analyze data from multiple sources to generate actionable insights and identify data quality improvements.
- Collaborate with technical and business teams to identify and implement effective business and technical solutions.
Required skills and experience
- 6–8 years of experience in business analysis, BI reporting, data analytics, or automation.
- At least 3 years of relevant experience in BI reporting and analytics.
- An undergraduate or advanced technical degree is preferred in mathematics, physics, engineering, finance, computer science, or a related field.
- Experience working independently and collaboratively in a fast-paced environment.
- Ability to analyze and combine data from multiple sources, present insights clearly, make actionable recommendations, and identify data hygiene and governance improvements.
- Advanced proficiency with Microsoft Power BI, Power Automate, Power Apps, Microsoft Excel, SQL, Power Query, DAX, automation tools, and semantic data modeling.
- Experience with large datasets, data transformation, and ETL processes.
- Strong storytelling, presentation, and data visualization skills; ability to communicate complex findings to technical and non-technical audiences.
- Strong problem-solving skills, a self-starter mindset, intellectual curiosity, and working knowledge of IT terminology, technologies, and industry practices.
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