RPA Business Systems Analyst (BSA)
Role Overview
The role seeks an experienced RPA Business Systems Analyst with expertise in business intelligence, automation, and data analytics.
The analyst designs, develops, and maintains reporting and automation solutions and supports data-driven decisions with actionable insights.
Key Skills for This Role
Full Job Posting
Position summary
The role seeks an experienced RPA Business Systems Analyst with expertise in business intelligence, automation, and data analytics.
The analyst designs, develops, and maintains reporting and automation solutions and supports data-driven decisions with actionable insights.
Key responsibilities
- Build and maintain interactive self-service dashboards and reporting solutions using Power BI, Power Automate, Power Apps, and other BI and automation tools.
- Analyze data for trends, patterns, and business optimization opportunities.
- Present complex findings through clear stories, dashboards, and presentations for senior leaders 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 improvements.
- Work with technical and business teams to identify and implement effective solutions.
Experience and qualifications
- 6–8 years of experience in business analysis, BI reporting, data analytics, or automation, including at least 3 years in BI reporting and analytics.
- An undergraduate or advanced technical degree in mathematics, physics, engineering, finance, computer science, or a related field is preferred.
- Strong ability to work independently and collaboratively in a fast-paced environment.
- Ability to analyze multiple data sources, present insights, recommend actions, and identify data hygiene and governance improvements.
- 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.
- Strong storytelling, presentation, visualization, communication, problem-solving, and curiosity; working knowledge of IT terminology and practices.
Tools and technical skills
- The role uses Power BI, Power Automate, Power Apps, Microsoft Excel, SQL, Power Query, DAX, automation tools, and semantic data modeling.
- Relevant work includes BI reporting, data analytics, data transformation, ETL, data governance, and data quality.
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