Senior Business Analyst
4 days ago
Project description
The role focuses on analyzing, documenting, and translating business requirements into technical specifications for Azure-based cloud applications. The analyst will collaborate with architects, developers, and stakeholders to design and deliver scalable, secure, and cost-effective Azure-native solutions.
Responsibilities
- - Gather and analyze business requirements from stakeholders for cloud-based solutions. - Translate business needs into technical specifications, focusing on Azure-native services. - Collaborate with architects and developers to design scalable and secure Azure solutions. - Define and document integration points between Azure services (Functions, App Services, OpenAI, Databricks, ML). - Evaluate and recommend Azure services based on business and technical needs. - Work closely with development teams to ensure accurate implementation of requirements. - Participate in sprint planning, backlog grooming, and user story refinement. - Validate functionality through UAT and feedback loops. - Define data requirements and support design of pipelines using Azure Data Factory, Synapse, or Databricks. - Write application documentation (SAD) and follow SDLC processes. - Act as a liaison between business, IT, and engineering teams. - Prepare and deliver presentations, demos, and stakeholder documentation.
SKILLS
Must have
- - Business Analysis: Strong ability to elicit, document, and validate functional and non-functional requirements. - Azure Cloud: Understanding of Azure-native services (Functions, App Services, Data Factory, Databricks). - Technical Documentation: Experience creating detailed specifications, architecture docs, and test acceptance criteria. - Agile Practices: Proficiency in working within Agile sprints, backlog management, and cross-functional collaboration. - UAT & Validation: Conducting and coordinating user acceptance testing and ensuring product quality before release.
Nice to have
- Exposure to Azure Synapse, OpenAI, or Machine Learning solutions. - Experience in data analytics or data pipeline design. - Familiarity with SDLC automation and DevOps workflows. - Ability to create business presentations and demos for stakeholder engagement. - Experience bridging business and cloud engineering teams for solution alignment.
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