Business Process Automation Analyst

About the job Title: Business Process Automation Analyst Location: Greater Plainsboro Area, NJ (Hybrid) Employment Type: Contract Status: Accepting Candidates About the role Join a dynamic operations team focused on improving business performance through advanced analytics, intelligent automation, and data visualization. This position will play a key role in developing Power BI reporting solutions, streamlining operational processes, and supporting strategic decision-making. Key Responsibilities • Design, develop, and maintain interactive Power BI dashboards, reports, and data visualizations • Utilize Power Automate, AI tools, and automation technologies to improve reporting efficiency and streamline business processes • Analyze operational, financial, compliance, safety, and sustainability data to deliver actionable insights and recommendations • Support audit preparation, governance activities, and compliance reporting initiatives across business operations • Partner with cross-functional teams including Fleet, Finance, HR, Legal, IT, and Operations leadership • Identify opportunities for process optimization and operational improvement through analytics and automation solutions • Assist in enhancing reporting accuracy, data quality, and business decision-making capabilities • Contribute to continuous improvement initiatives focused on operational performance and reporting modernization Qualifications • 3–5 years of experience in business operations, analytics, reporting, or data-driven analytical roles • Strong hands-on experience with Power BI, including dashboard creation, data visualization, data modeling, and DAX development • Experience leveraging AI tools, automation technologies, or advanced analytics to improve operational processes and reporting efficiency • Advanced proficiency in Microsoft Excel, including reporting, data analysis, and spreadsheet management • Excellent analytical, problem-solving, communication, and stakeholder collaboration skills • Ability to work effectively with cross-functional business and operational teams • Bachelor’s degree in Business, Finance, Analytics, Data Science, Operations Management, or a related discipline preferred