EXL is hiring for a FRESHER entry level Data Analyst / Data Engineer role in India

Position:

• Data Analyst / Data Engineer
• Entry level role focused on Business Intelligence, analytics, and data engineering support
• Opportunity to work across data modeling, reporting, and stakeholder collaboration
• Involves a mix of technical execution and business understanding
• Designed for candidates who want to build strong foundations in analytics and data systems

Company:

• EXL
• Global analytics and digital solutions organization
• Focused on data driven decision making and business transformation
• Works with enterprises across industries including finance, healthcare, insurance, and retail
• Known for combining analytics, AI, and consulting to drive business outcomes

Location:

• India
• Specific location not explicitly mentioned, likely metro or hybrid setup based on similar roles

Job type:

• Full time

Job mode:

• Hybrid or onsite depending on project requirements

Job requisition id:

• 9059

Years of experience:

• 0 to 3 years

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Company description:

• EXL is a global organization that specializes in analytics, digital transformation, and operations management, helping businesses improve efficiency and decision making through data driven strategies
• The company focuses on building long term partnerships with clients by understanding their unique business needs rather than applying generic solutions, ensuring that each engagement delivers measurable impact
• With a strong presence across multiple industries, EXL supports organizations in areas such as AI adoption, business process optimization, and data modernization, enabling them to remain competitive in a rapidly evolving digital economy
• Their approach emphasizes collaboration, continuous learning, and adaptation, allowing them to align technology solutions with business goals and legacy systems without disrupting core operations
• EXL leverages deep expertise in data science, analytics, and domain knowledge to provide actionable insights that improve customer experience, enhance revenue growth, and streamline operations
• The organization also focuses on integrating advanced technologies into business workflows, ensuring that companies can scale efficiently while maintaining agility
• By combining consulting capabilities with strong technical execution, EXL positions itself as a trusted partner for organizations looking to transform their operations through intelligent use of data
• The company culture encourages innovation, teamwork, and problem solving, making it a suitable environment for freshers who want to build a career in analytics and data driven roles

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Profile overview:

• This role is designed for individuals who are interested in working at the intersection of business analysis, data engineering, and business intelligence, offering exposure to multiple aspects of the data lifecycle
• The selected candidate will be responsible for transforming raw data into meaningful insights through the use of dashboards, data models, and analytical techniques, enabling stakeholders to make informed decisions
• A key aspect of the role involves working closely with business stakeholders, understanding their requirements, and translating them into technical solutions that can be implemented using modern data tools
• The position requires a balance between technical skills such as SQL and Python, and analytical thinking to interpret business problems and design appropriate data solutions
• Candidates will also work on building and maintaining dashboards using tools like Power BI, ensuring that data is presented in a clear and actionable manner
• Another important responsibility includes developing and optimizing data models that serve as the foundation for reporting and analytics, ensuring accuracy, scalability, and usability
• The role also includes exposure to cloud platforms and data engineering tools, giving candidates the opportunity to understand how data pipelines are built and maintained in real world environments
• Overall, this position provides a strong starting point for freshers to develop expertise in analytics, data visualization, and data engineering while working on real business problems

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Qualifications:

• Strong problem solving ability and analytical thinking skills, with the capability to break down complex business problems into manageable components
• Basic to intermediate knowledge of SQL for querying, transforming, and managing data from relational databases
• Familiarity with Power BI or similar visualization tools, including understanding of concepts such as dashboards, reports, and data storytelling
• Understanding of data modeling concepts, including how to structure data for efficient analysis and reporting
• Exposure to programming languages such as Python for data manipulation, analysis, or automation tasks
• Knowledge of data warehousing concepts and how data is stored, processed, and accessed in large scale systems
• Awareness of cloud platforms such as AWS, including services related to data processing and storage
• Familiarity with tools such as Snowflake, Airflow, and Github is considered an advantage, as it indicates exposure to modern data ecosystems
• Ability to work with APIs and integrate data from multiple sources into a unified system
• Good communication skills to effectively interact with stakeholders, understand their requirements, and present insights in a clear manner
• Willingness to learn new tools and technologies, as the role involves working with evolving data platforms and methodologies
• Attention to detail to ensure data accuracy, consistency, and reliability across reports and dashboards

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Additional info:

• The role offers an excellent opportunity for fresh graduates or early career professionals to gain hands on experience in data analytics and business intelligence within a global organization
• Candidates will get exposure to real world business problems and will work on projects that directly impact decision making and business performance
• The position provides a learning environment where individuals can develop both technical and business skills, making them well rounded professionals in the data domain
• Working with cross functional teams will help candidates understand how data is used across different departments and industries
• The organization encourages continuous learning and skill development, allowing employees to grow their expertise in analytics, cloud technologies, and data engineering
• There may be opportunities to work with advanced technologies such as machine learning and AI as the candidate progresses in their career
• The role also provides exposure to best practices in data governance, data quality, and data security, which are essential for building reliable analytics systems
• Candidates will benefit from mentorship and guidance from experienced professionals, helping them accelerate their learning and career growth
• The work environment is collaborative and supportive, encouraging knowledge sharing and innovation
• This position serves as a strong foundation for career paths such as Data Analyst, Business Intelligence Developer, Data Engineer, or Data Scientist

Please click here to apply.