RPA Business Systems Analyst (BSA)
Role Overview
Experienced RPA Business Systems Analyst role focused on Business Intelligence, automation, and data analytics.
Design and maintain reporting and automation solutions while partnering with stakeholders to deliver insights and support data-driven decisions.
Key Skills for This Role
Full Job Posting
Position summary
Experienced RPA Business Systems Analyst role focused on Business Intelligence, automation, and data analytics.
Design and maintain reporting and automation solutions while partnering with stakeholders to deliver insights and support data-driven decisions.
Key responsibilities
- Design, develop, and maintain interactive self-service dashboards and reporting with Power BI, Power Automate, Power Apps, and other BI and automation tools.
- Analyze data to identify trends, patterns, and business optimization opportunities.
- Turn complex findings into clear stories, dashboards, and presentations for senior leadership and business partners.
- Maintain data accuracy, consistency, governance, and quality across reporting solutions.
- Handle ad hoc reporting requests and advise on BI and reporting best practices.
- Combine data from multiple sources to generate insights and identify data quality improvement opportunities.
- Collaborate with technical and business teams to identify and implement effective solutions.
Required skills and experience
- 6–8 years in Business Analysis, BI Reporting, Data Analytics, or Automation, including at least 3 years in BI reporting and analytics.
- Advanced proficiency with Power BI, Power Automate, Power Apps, Excel, SQL, Power Query, DAX, automation tools, and semantic data modeling.
- Experience with large datasets, data transformation, and ETL processes.
- Ability to analyze and combine multiple data sources, present insights, make recommendations, and identify data hygiene and governance improvements.
- Strong storytelling, presentation, data visualization, and communication skills for technical and non-technical audiences.
- Ability to work independently and collaboratively in a fast-paced environment.
- Strong problem-solving skills, self-starter mindset, intellectual curiosity, and working knowledge of IT terminology, technologies, and industry practices.
Preferred education
- Undergraduate or advanced technical degree in Mathematics, Physics, Engineering, Finance, or Computer Science is preferred.
Location and work arrangement
- Toronto, Ontario; contract duration and hybrid arrangement are stated in the posting.
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