Senior Business Analyst (Data Science project)

Company Description

👋🏼 We're Nagarro.

We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18 000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Job Description

As a Senior Business Analyst you will help define and deliver solutions that provide business outcomes and will serve as a facilitator between the Transform Data Science Team (TDST) and Business Stakeholders. This role will create functional and non-functional product backlog items and user stories for descriptive analytics, predictive insights, AI/ML, and other digital solutions in the manufacturing industry. This position is ideal for a motivated professional who thrives in a complex, fast-paced environment and is committed to continuous learning and growth in the domains of data science and advanced analytics.

Key Responsibilities

Agile Practice & Team Role

• Work in continuous delivery mode, analysing, testing, and delivering features iteratively
• Consistently demonstrate Agile processes and principles for effective delivery
• Consistently demonstrate Lean principles for efficient delivery
• Actively participate in team learning sessions and knowledge-sharing activities to build expertise in data science concepts, AI/ML methodologies, and emerging technologies
• Adapt quickly to changing priorities and requirements in a dynamic manufacturing environment

Requirement Elicitation & User Story Management

• Work with the team and Product Owner on defining the epic's detailed scope
• Responsible for creating, refining, and maintaining user stories and associated deliverables such as process flows and test cases to meet development and stakeholder needs
• Provide guidance and facilitate conversations as needed on sizing stories, choosing stories for sprints, splitting stories, and determining technical story details
• Work with the Product Owner and other BAs on the prioritisation of user stories in the product backlog
• Work with the Product Owner, BAs, and team members on defining acceptance criteria sufficiently for testing
• Work with the Product Owner to confirm that the delivered solution is in fulfillment of the stated requirements
• Work with business stakeholders to test user stories
• Guide the team to ensure a solid understanding of the ceremonies, expectations, deliverables, dependencies, and their role in the Agile development methodology
• Provide coaching in the discipline for junior resources
• Translate complex data science and AI/ML concepts into clear, actionable user stories that non-technical stakeholders can understand
• Proactively seek clarification and ask insightful questions to bridge knowledge gaps between technical teams and business stakeholders

Stakeholder Engagement & Communication

• Build and maintain strong relationships with diverse stakeholders across manufacturing operations, IT, and business units
• Facilitate workshops and collaborative sessions to gather requirements in ambiguous or evolving problem spaces
• Communicate progress, risks, and impediments clearly and proactively to all levels of the organization
• Navigate complex organizational dynamics and competing priorities with diplomacy and professionalism

Continuous Learning & Growth

• Demonstrate intellectual curiosity and initiative in learning about data science, machine learning, and advanced analytics concepts
• Seek feedback regularly and apply it to improve performance and deliverables
• Stay current with industry trends in manufacturing analytics, AI/ML applications, and Agile best practices
• Embrace challenges as learning opportunities and maintain a growth mindset in the face of complexity
• Collaborate with data scientists and engineers to deepen understanding of technical solutions and constraints

Qualifications

Key requirements: 

• ​​​​​​Bachelor's degree in Business Administration, Information Technology, or a related field
• Exposure to or foundationa