Sr Analyst IT Business

Role Purpose

The Sr Analyst IT Business is responsible for leading business process reviews and provide recommendations to ensure processes, systems and documentation meet changing business conditions and/or requirements. The Sr Analyst IT Business will gather business requirements, perform system and process analysis, design, support testing and prototyping for large cross functional complex projects. Senior IT Analyst will need to lead the design and implementation of automation solutions across business functions, leveraging
RPA tools to enhance efficiency and drive stakeholder engagement.

Key Accountabilities

• Collaborate with technology partners to design and deliver automation solutions that leverage RPA,
  Python, and AI/ML components.
• Analyze business processes, identify automation opportunities, and create solution architectures
  that include cognitive and predictive elements.
• Lead technical design, code reviews, and ensure adherence to automation best practices and
  enterprise architecture standards.
• Enhance and optimize existing automations, integrating machine learning models or AI APIs where
  applicable. Work with AI tools such as OCR engines, language models, and classification/prediction models to build intelligent workflows.
• Conduct monthly stakeholder meetings to track business demand, pipeline, and discuss potential
  automation initiatives.
• Track all work in Rally or equivalent project tracking tool, with regular reporting and
  documentation.
• Guide and manage the automation support team, ensuring timely resolution of incidents, root cause
  analysis, and continuous improvement.

Key Skills & Experiences

Education –

• Bachelor's in a relevant field of work or an equivalent combination of education and work related experience.
• SAFe PO/PM certification preferred
• SAFe Agilist certification preferred

Experience –

• Strong proficiency in Automation tools and capabilities preferably - BP, UIP, MS PA etc.
• Advanced Python programming skills, including experience with automation, APIs, and data handling
  libraries (e.g., pandas, NumPy).
• Exposure to AI/ML concepts such as model building, classification, regression, clustering, and NLP
  techniques. Familiarity with machine learning frameworks such is a plus.
• Experience with intelligent document processing, LLM integration, and cognitive automation is a
  plus (e.g., chatbots & smart decisioning).
• Understanding of integration technologies – REST/SOAP APIs, databases, and enterprise platforms.
  Experience with Microsoft Power Platform tools like Power Apps, Power Automate and Power BI is beneficial.

Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.