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Robotics Process Automation / RPA / data / sql server / Philadelphia

Philadelphia, PA

Hybrid

Full Time

$80k - $110k

Our client is a wealth management firm located in Center City Philadelphia and looking for an RPA Analyst. In this role, you will leverage your expertise in Robotics Process Automation (RPA), specifically with Automation Anywhere and Xceptor, as well as your knowledge of data warehousing and MS SQL. Your responsibilities will include collaborating with stakeholders to identify automation opportunities, designing and implementing RPA solutions, integrating them with data warehouse systems and MS SQL databases, and providing ongoing support and optimization. This position offers a competitive salary, comprehensive benefits, and the opportunity to work onsite two days a week, fostering close collaboration and impactful contributions to automation initiatives that enhance operational efficiency and client service.

Required Skills and Experience:

  • Proficiency in Robotics Process Automation (RPA) methodologies and tools, especially Automation Anywhere and Xceptor
  • Experience with data warehousing concepts and implementation
  • Strong knowledge of MS SQL for data manipulation, querying, and database management

What You Will be Doing:

  • Collaborating with business stakeholders to identify automation opportunities and requirements
  • Designing, developing, and implementing RPA solutions using Automation Anywhere and Xceptor
  • Integrating RPA solutions with data warehouse systems and MS SQL databases
  • Performing testing, debugging, and troubleshooting of RPA workflows to ensure accuracy and efficiency
  • Providing ongoing support, maintenance, and optimization of RPA processes

The Offer:

  • Competitive salary and benefits package
  • Opportunity to work on cutting-edge RPA projects in a dynamic and collaborative environment
  • Career growth and learning opportunities, including training and certifications in RPA technologies
  • Work-life balance with flexible hours and remote work options
  • Chance to contribute to transformative automation initiatives that streamline business operations and drive productivity

Posted by: Kate Cascaden

Specialization: Data Engineering