Senior Business Analyst

Luxoft

3 - 7 years

12 - 16 Lacs

pune

Posted:-1 days ago| Platform:

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Skills Required

business analyst data analytics sprint databricks business analysis azure data factory machine learning cloud automation devops agile technical documentation sdlc cloud engineering architecture azure ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

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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