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EXL is hiring for a FRESHER entry level Business Analyst role in India




Position:

  • Business Analyst

  • Entry level analytics focused role designed for fresh graduates and early career professionals

  • Role aligned with data analytics and applied machine learning use cases

  • Position involves working closely with cross functional business and technical teams

  • Opportunity to contribute across the full lifecycle of analytics driven initiatives


Company:

  • EXL

  • Global organization operating in business consulting and professional services

  • Known for strong focus on analytics driven decision making

  • Works with clients across multiple industries including insurance, healthcare, banking, and digital services

  • Organization emphasizes long term partnerships and outcome focused solutions


Location:

  • Gurugram

  • Haryana

  • India

  • On ground presence at client delivery and analytics hubs

  • Location offers exposure to large enterprise clients and global stakeholders


Job type:

  • Full time

  • Permanent role

  • Employee based position

  • Opportunity for long term career growth within the organization


Job mode:

  • Onsite

  • Role requires working from office environment

  • Direct collaboration with internal teams and stakeholders

  • Suitable for candidates seeking structured corporate work setup


Job requisition id:

  • Not explicitly mentioned by the company

  • Internal tracking managed by EXL recruitment systems

  • Candidates should reference the Business Analyst role during application


Years of experience:

  • Freshers are encouraged to apply

  • Entry level candidates with relevant academic or project exposure

  • Candidates with up to three years of experience may also be considered

  • Practical exposure through internships or academic projects is valued


Company description

  • EXL operates as a trusted partner for organizations seeking analytics driven transformation

  • The company works closely with clients to understand business challenges before proposing solutions

  • Rather than offering standard solutions, EXL focuses on tailored approaches aligned with client goals

  • The organization integrates analytics, digital practices, and operational expertise into client workflows

  • Strong emphasis is placed on collaboration, adaptability, and continuous learning

  • EXL supports clients across different stages of digital maturity

  • The company prioritizes sustainable growth rather than short term fixes

  • Teams are encouraged to combine domain knowledge with analytical thinking

  • Employees are exposed to real world business problems across industries

  • EXL invests heavily in data science, analytics, and change management capabilities

  • The organization promotes responsible use of data and technology

  • Work culture supports innovation, accountability, and results driven execution

  • EXL continues to expand its analytics footprint globally

  • The company focuses on building long term value for both clients and employees


Profile overview:

  • This role focuses on applying data analytics and machine learning techniques to solve business problems

  • The Business Analyst works on end to end analytics and machine learning projects

  • Responsibilities include understanding business requirements and translating them into analytical tasks

  • The role requires hands on work with data extraction, preparation, and analysis

  • Candidates will support predictive and prescriptive modeling initiatives

  • Exposure to natural language processing use cases may be part of the role

  • Analysts collaborate with data scientists, engineers, and business stakeholders

  • Clear communication of insights is a core expectation of the role

  • The position involves interpreting model outputs for business decision making

  • Analysts contribute to deployment and monitoring of analytical solutions

  • Continuous learning is expected as tools and methodologies evolve

  • The role offers strong learning exposure for freshers entering analytics careers

  • Candidates gain experience across multiple tools and business domains

  • Work assignments may vary based on client requirements and project scope


Qualifications:

  • Educational background in engineering, statistics, mathematics, economics, or related fields

  • Understanding of data analytics and basic machine learning concepts

  • Proficiency in SQL for data querying and extraction

  • Working knowledge of Python for data analysis and modeling

  • Familiarity with spreadsheet tools such as Microsoft Excel

  • Basic understanding of data visualization concepts

  • Strong foundation in probability and statistics

  • Exposure to predictive and prescriptive modeling approaches

  • Awareness of natural language processing concepts is beneficial

  • Any hands on exposure to cloud platforms such as Azure is an advantage

  • Good written and verbal communication skills

  • Ability to work with structured and unstructured data

  • Willingness to adapt to new tools and project requirements

  • Strong problem solving and analytical thinking skills


Additional info:

  • Role requires ability to work under timelines and changing priorities

  • Candidates should be comfortable collaborating with diverse teams

  • Attention to detail and consistency is expected in deliverables

  • Strong time management skills are important for handling multiple tasks

  • Writing and documentation skills are useful for client communication

  • The organization values professionalism and accountability

  • Training and learning opportunities may be provided internally

  • Performance based growth opportunities exist within the organization

  • Exposure to multiple industries enhances long term career prospects

  • Candidates should be open to continuous skill development

  • Work environment supports analytical rigor and business impact

  • This role serves as a foundation for advanced analytics career paths


Please click here to apply.


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