Key Responsibilities

• Collaborate with stakeholders to gather, define, and prioritize business and functional requirements for data science initiatives.
• Analyze complex business problems and translate them into clear, data-driven requirements and models.
• Develop high-quality documentation, including business process models, use cases, workflows, and functional specifications.
• Support product and data teams throughout the full Software Development Life Cycle (SDLC).
• Ensure alignment between business needs and outputs from analytics, data engineering, and AI/ML teams.
• Facilitate effective communication between technical and non-technical teams to ensure project clarity and alignment.
• Actively participate in Agile ceremonies, including sprint planning, backlog grooming, and retrospectives.
• Apply risk management techniques and support limited-scope financial and contract management activities, where applicable.
• Assist in quality assurance, change management, and continuous improvement initiatives.
• Contribute to time management, project scheduling, and milestone tracking efforts.

Candidate Profile

• Bachelor’s degree in Business Administration, Computer Science, Information Systems, or a related field; a Master’s degree is preferred.
• 5+ years of experience in business analysis, with a strong focus on data science or analytics projects.
• Proficient in business process modeling, requirements documentation, and stakeholder engagement.
• Skilled in tools such as Microsoft Excel, Visio, JIRA, Confluence, or similar platforms.
• Strong understanding of Agile, Waterfall, or Hybrid SDLC methodologies.
• Excellent problem-solving, analytical, organizational, and communication skills.
• Proven ability to manage stakeholder expectations and collaborate cross-functionally in a fast-paced environment.

Preferred Skills & Experience

• Certifications such as CBAP®, CCBA®, or PMI-PBA® are highly desirable.
• Experience in banking or software development environments.
• Familiarity with data analysis and visualization tools such as SQL, Power BI, or Tableau.
• Understanding of UX/UI principles and experience collaborating with design and product teams.
• Exposure to contract and budget management in a limited or project-specific capacity.