Senior Business Analyst

The Senior Business Analyst – Data Science plays a pivotal role in bridging the gap between business objectives and data-driven solutions. This role focuses on identifying business needs, analyzing processes, and recommending actionable strategies that deliver measurable value. The analyst will collaborate closely with cross-functional teams—including product managers, data scientists, developers, and business leaders—to define requirements, support strategic initiatives, and optimize business performance through data-informed insights.

Key Responsibilities

• Work 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.
• Create high-quality documentation including business process models, use cases, workflows, and functional specifications.
• Support product and data teams through the full Software Development Life Cycle (SDLC).
• Ensure alignment of business needs with analytics, data engineering, and AI/ML outputs.
• Facilitate communication between technical and non-technical teams to ensure project clarity and alignment.
• Participate in Agile ceremonies, including sprint planning, backlog grooming, and retrospectives.
• Apply risk management techniques and limited scope financial and contract management where applicable.
• Support quality assurance, change management, and continuous improvement efforts.
• Contribute to time management, project scheduling, and milestone tracking activities.

Qualifications

• 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.
• Strong understanding of Agile, Waterfall, or Hybrid SDLC methodologies.
• Excellent problem-solving, analytical, organizational, and communication skills.
• Demonstrated ability to manage stakeholder expectations and work cross-functionally in a fast-paced environment.

Preferred Skills & Experience:

• Certifications such as CBAP®, CCBA®, or PMI-PBA® are highly desirable.
• Experience in [insert domain, e.g., banking, healthcare, logistics, software development].
• 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.

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