
Business System Analyst
3 days ago
We are seeking an experienced Senior Business Analyst to join our team. In this role, you will be responsible for acting as a liaison between customers, stakeholders, and technical teams.
Your primary objective will be to elicit, document, and manage business and functional requirements.
You will also be responsible for preparing clear documentation (BRDs, user stories, use cases), breaking down requirements into epics, user stories, and tasks.
Additionally, you will analyze current and future state processes; identify improvement opportunities, drive project planning, risk assessment, and effort estimation.
You will collaborate with development, QA, and product teams for smooth delivery, assist in UAT planning and execution, participate in change management, training, and communication planning.
Finally, you will work with data science/AI teams to translate business needs into AI/ML use cases, contribute to identifying AI opportunities across internal and customer-facing processes.
Required Skills and QualificationsTo succeed in this role, you must have strong experience in requirement elicitation and documenting business and functional requirements.
You should also have hands-on experience with tools like JIRA, Confluence, and Azure DevOps.
In addition, you must be able to create BRDs, User Stories, Process Flows, and Wireframes, possess strong stakeholder management and communication skills.
A deep understanding of Agile methodologies & Scrum frameworks is essential, as well as experience in Backlog Grooming, Estimation, and Agile ceremonies.
You should also have familiarity with SQL and advanced Excel for data analysis, exposure to AI/ML-driven solutions or products.
Strong problem-solving and critical thinking abilities are required, as well as the ability to manage multiple priorities and work in fast-paced environments.
BenefitsThis role offers a competitive salary and benefits package, including opportunities for professional growth and development.
Other RequirementsPlease note that a Bachelor's degree in Computer Science, MCA, or related technical field is required, along with excellent interpersonal skills and a customer-centric attitude.
You should also have an ownership mindset with leadership and mentoring skills, be a strong team player, flexible, adaptable, and a quick learner of new domains and tools.
Prior experience working on AI/ML initiatives or with data science teams is an asset, as is knowledge of emerging technologies like AI, ML, RPA, and automation.
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