Overview: We are seeking an experienced Business Analyst to join our team, playing a crucial role in supporting data and analytics initiatives from conception through implementation. You will collaborate closely with Product Owners and cross-functional teams to analyze and define business needs, ensuring data-driven solutions align with organizational goals. This role requires deep expertise in process analysis, requirements gathering, and user acceptance testing, and familiarity with AI/ML projects. Key Responsibilities: Collaborate Across Phases: Support Product Owners and project teams through Process Analysis, Requirements Gathering, User Acceptance Testing, Training, Deployment, and Continuous Improvement phases. Requirements and Documentation: Gather business context from Product Owners, translating insights into detailed business requirements, user stories, and technical requirements. Data Analysis: Conduct data analysis across various sources, consolidating data and ensuring accuracy and efficiency for informed business decisions. Process Mapping: Perform business process analysis to identify gaps, define configuration needs, and strategize solutions for data and analytics workflows. Quality Assurance: Develop test designs and test cases, ensuring all requirements and enhancements meet technical specifications and user expectations. Reporting & Performance Analysis: Analyze business performance pre- and post-deployment, utilizing tools like SQL, PowerBI, Tableau, and Excel to interpret and report on trends. Project Documentation: Maintain and develop essential project documentation, including project status updates, business communications, and presentations. Must Haves: Education: Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or related field. Experience: 10+ years as a Business Analyst, Product Manager, Solutions Architect, or Business Systems Analyst focused on data and analytics software development projects. Technical Proficiency: Demonstrated experience with JIRA, Confluence, SQL, PowerBI, Tableau, and Agile methodologies. Data Analytics Projects: Proven track record in data analytics projects, including understanding of AI and ML applications. Agile Expertise: In-depth knowledge of Agile development methodology, Product Development, and Software Development Life Cycle. Strong Presentation Skills: Proficiency in Microsoft PowerPoint, capable of creating clear, data-driven presentations. Nice to Haves: Familiarity with advanced data science and analytics methodologies. Agile certifications such as Scrum Master or Product Owner. Soft Skills: Excellent communication, interpersonal, and collaboration skills. High attention to detail with strong organizational abilities. Adaptability to manage multiple priorities and meet deadlines. Analytical mindset with a solution-oriented approach to problem-solving.