RPA Business Systems Analyst (BSA)
Role Overview
The experienced RPA Business Systems Analyst will deliver business intelligence, automation, and data analytics solutions to support data-driven decisions.
The role designs, develops, and maintains reporting and automation solutions in partnership with business stakeholders.
Key Skills for This Role
Full Job Posting
Position summary
The experienced RPA Business Systems Analyst will deliver business intelligence, automation, and data analytics solutions to support data-driven decisions.
The role designs, develops, and maintains reporting and automation solutions in partnership with business stakeholders.
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 business-optimization opportunities.
- Translate complex findings into narratives, dashboards, and presentations for senior leaders and business partners.
- Maintain data accuracy, consistency, governance, and quality across reporting solutions and dashboards.
- Handle ad hoc reporting requests and advise on BI and reporting best practices.
- Combine and analyze multiple data sources to produce insights and identify data-quality improvements.
- Collaborate with technical and business teams to identify and implement effective solutions.
Required skills and experience
- 6–8 years of experience 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, communicate findings, 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, and intellectual curiosity.
- Working knowledge of IT terminology, technologies, and industry practices.
Preferred education
- An undergraduate or advanced technical degree in mathematics, physics, engineering, finance, computer science, or a related field is preferred.
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