Senior Business Analyst – Data and Insights

JOB_REQUIREMENTS

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Employment Type

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Company Location

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Salary

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Highlights

Experience

5+ Years

Joining Date

Immediate or max 30 days’ Notice Period

Qualification

Bachelor’s or Master’s in computer science, Information Technology, Engineering, or a related field.

Job Description

Beinex is looking for a Senior Business Analyst to serve as a key client-facing liaison between business stakeholders and technical teams. This role demands strong skills in understanding both business requirements and the technical landscape, including Data, AI, Analytics, BI, and Digital Transformation.

The SBA will actively participate in all stages of the project lifecycle, from gathering requirements through execution and delivery, while also supporting pre-sales efforts, leadership presentations, and insights development. This role should play a pivotal role in enhancing advisory capabilities and delivering excellence on global projects.

Responsibilities

Lead client interactions to gather, analyze, and validate business requirements.
Document requirements through BRDs, FRDs, use cases, user stories, and process workflows.
Translate business needs into precise, actionable requirements for technical and delivery teams.
Act as the primary liaison between clients, project managers, data, and development teams.
Provide requirement walkthroughs and clarification throughout the project lifecycle.
Support requirement changes and ensure traceability until closure.
Participate across planning, analysis, design, development, testing, UAT, and deployment phases.
Monitor delivery progress, dependencies, and risks to ensure alignment with business expectations.
Develop an understanding of client business models, KPIs, workflows, and data to support digital initiatives.
Support pre-sales and strategic efforts through requirement inputs, proposal content, and solution narratives.

Key Skills Requirements

5+ years of experience in business research, consulting insights, market intelligence, and business analysis leadership roles.
Strong client-facing communication skills with the ability to engage and influence senior stakeholders.
Proven expertise in creating BRDs, FRDs, SOPs, and well-structured documentation.
Ability to quickly understand diverse industries and articulate client business challenges.
Independent, self-driven professional capable of managing large-scale project executions.
Working knowledge of BI tools such as Tableau, Power BI, and Qlik.
Familiarity with data engineering concepts, integrations, and data pipelines.
Basic understanding of AI/ML fundamentals as an added advantage.
Ability to translate complex technical concepts into clear, business-friendly language for non-technical stakeholders.