BUSINESS ANALYST (FRESHER/JUNIOR)

Job Overview

We are looking for a highly motivated Fresher/Junior Business Analyst to join our digital product team. This role is ideal for candidates who are passionate about analyzing business needs, supporting product development, and leveraging data analytics or AI-driven insights to improve user experience and operations.

You will work closely with Product Owners, designers, developers, and business stakeholders to translate ideas into actionable requirements that shape high-quality digital solutions.

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Responsibilities

- Assist in gathering, analyzing, and documenting business requirements from stakeholders.

- Support the creation of process flows, use cases, activity diagrams, and user journey mappings.

- Perform basic data analysis using SQL, Excel, BI tools (PowerBI, Tableau) to support decision-making.

- Translate business needs into clear and structured User Stories, acceptance criteria, and requirement specs (BRD, SRS).

- Participate in Agile ceremonies: requirement grooming, sprint planning, daily stand-ups, and retrospectives.

- Assist in UAT activities: preparing test cases, validating features, capturing feedback, and tracking issues.

- Analyze user behavior and operational data to uncover insights and propose product enhancements.

- Support AI-related product features such as recommendation engines, semantic search, chatbot workflows, or content-generation use cases.

- Coordinate with designers and developers to ensure understanding and alignment of requirements.

- Maintain clear documentation and communicate effectively across teams.

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Qualifications

- Bachelor’s degree in Information Technology, Information Systems, Business Analytics, Data Science, Statistics, or a related field.

- Foundational understanding of business analysis concepts and SDLC.

- Ability to read and interpret basic technical documents (API specs, data models).

- Strong interest or academic background in data analytics: SQL, Excel, Python, or BI tools is a strong advantage.

- Basic understanding of AI/ML concepts or hands-on experience through academic projects is a plus.

- Familiarity with Agile/Scrum methodologies.

- Strong analytical thinking, curiosity, and ability to learn quickly.

- Good communication and interpersonal skills.

- Product mindset with the ability to use data to support decisions.

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Nice-to-have

- Internship or real project experience in AI, machine learning, BI dashboards, or data-driven analysis.

- Certifications in SQL, Data Analytics, Business Analysis Foundation, or Agile/Scrum.

- Experience with prototyping tools (Figma, Miro, Lucidchart) is a plus.

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