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KPMG is hiring for a FRESHER entry level Data Analyst role in India




Position:

  • Data Analyst

  • Entry level analytics focused role supporting business analysis and reporting needs

  • Designed for freshers and early career professionals seeking exposure to consulting style environments

Company:

  • KPMG

  • Global professional services organization delivering audit, tax, and advisory solutions

  • Operates through independent member firms under a unified global brand

Location:

  • Gurugram, Haryana, India

  • Office based role aligned with client delivery and internal stakeholder collaboration

Job type:

  • Full time

  • Permanent employment opportunity

Job mode:

  • Onsite

  • Daily presence at the office to support collaboration, workshops, and business discussions

Job requisition id:

  • Not officially disclosed

  • Internal hiring reference managed by KPMG talent acquisition team

Years of experience:

  • Freshers and early career professionals

  • Suitable for candidates with zero to three years of exposure (0-3 years)

  • No fixed experience requirement stated


Company description

  • KPMG is a globally recognized professional services organization offering audit, tax, and advisory services to a wide range of clients

  • The firm operates through legally independent member firms spread across more than one hundred forty countries and territories

  • With a workforce consisting of hundreds of thousands of professionals, KPMG supports public sector and private sector organizations across industries

  • The organization emphasizes ethical practices, strong governance, and trust driven advisory services

  • KPMG assists clients with financial reporting, regulatory compliance, digital transformation, analytics adoption, and operational improvement initiatives

  • The company invests heavily in technology driven solutions including analytics, automation, and artificial intelligence enabled services

  • Employees at KPMG work in multidisciplinary teams combining domain knowledge, data skills, and business understanding

  • The firm maintains a strong learning culture with structured training programs and exposure to real world business problems

  • KPMG promotes collaboration, continuous improvement, and professional development across all levels

  • The organization values integrity, quality, and client centric thinking in all engagements


Profile overview

  • This role focuses on supporting business and analytics teams by translating business needs into structured data driven insights

  • The Data Analyst acts as a connector between business stakeholders, analytics teams, and reporting developers

  • The position involves understanding business challenges and converting them into clear analytical requirements

  • The role supports decision making by validating data, reports, and dashboards

  • The analyst contributes to requirement discussions, documentation, and ongoing operational support

  • The position offers exposure to stakeholder interactions, analytics tools, and enterprise reporting environments

  • Candidates gain experience working on live business use cases across domains

  • The role supports both project based initiatives and routine operational requests

  • Freshers receive an opportunity to learn structured consulting workflows and documentation standards

  • The profile builds a strong foundation in analytics, communication, and problem solving skills


Requirement gathering and analysis responsibilities

  • Engage with internal and client side stakeholders to understand business objectives

  • Participate in discussions to capture challenges, goals, and data expectations

  • Translate high level business needs into detailed analytical requirements

  • Document functional requirements related to reports, dashboards, and data outputs

  • Capture non functional expectations such as data accuracy, timeliness, and usability

  • Clarify assumptions and confirm understanding with stakeholders

  • Break down complex requirements into structured analytical components

  • Support analytics and engineering teams by providing clear requirement explanations

  • Assist in prioritizing requirements based on business impact

  • Ensure alignment between business needs and technical feasibility


Stakeholder management responsibilities

  • Act as a communication bridge between business users and technical teams

  • Coordinate with data engineers, reporting developers, and analytics professionals

  • Participate in workshops, requirement discussions, and review meetings

  • Maintain regular communication to share progress updates

  • Manage stakeholder expectations related to timelines and deliverables

  • Support alignment between multiple teams involved in analytics delivery

  • Document meeting outcomes and action items clearly

  • Escalate risks and challenges to appropriate stakeholders

  • Build trust through clear communication and responsiveness

  • Support collaborative decision making across teams


Data analysis and validation responsibilities

  • Perform exploratory analysis to understand data patterns and trends

  • Review datasets to identify inconsistencies or gaps

  • Validate outputs generated through queries and reports

  • Support dashboard validation to ensure accuracy of metrics

  • Verify alignment between reported data and business definitions

  • Assist in quality checks related to completeness and relevance

  • Support interpretation of analytical outputs for stakeholders

  • Collaborate with reporting teams to resolve data discrepancies

  • Ensure consistency across multiple reports and dashboards

  • Contribute to maintaining reliable and trustworthy analytics outputs


Documentation and process mapping responsibilities

  • Create and maintain business requirement documents

  • Support functional requirement documentation for analytics initiatives

  • Draft user stories and acceptance criteria for analytics tasks

  • Document process flows representing business and data workflows

  • Assist in preparing data dictionaries and metric definitions

  • Maintain documentation for recurring operational processes

  • Support documentation related to system changes and enhancements

  • Ensure documentation remains updated and accessible

  • Follow standard templates and quality guidelines

  • Contribute to knowledge sharing within the team


Business operations support responsibilities

  • Respond to ad hoc reporting and data requests

  • Support ongoing analytics operations

  • Assist in issue resolution related to reports and data pipelines

  • Coordinate with technical teams during enhancements

  • Support smooth operations during system upgrades

  • Assist in managing change requests from stakeholders

  • Monitor analytics outputs to ensure continuity

  • Provide timely support to maintain business operations

  • Document recurring issues and resolutions

  • Contribute to operational stability and reliability


System migration and tool support responsibilities

  • Assist in assessing impact of new tools or system changes

  • Support readiness evaluations for analytics migrations

  • Help map existing processes to new systems

  • Coordinate with technical teams during transition phases

  • Participate in user acceptance testing activities

  • Validate reports and data outputs during testing

  • Document test outcomes and observations

  • Identify gaps and improvement opportunities

  • Support smooth transition for business users

  • Assist in post migration stabilization activities


Qualifications

  • Bachelor degree in engineering, science, commerce, or related fields

  • Educational background involving data, analytics, or business subjects preferred

  • Exposure to analytics concepts through academics or projects

  • Basic understanding of data analysis techniques

  • Familiarity with structured problem solving approaches

  • Interest in working with data and business stakeholders

  • Willingness to learn analytics tools and consulting methodologies

  • Strong attention to detail and documentation skills

  • Ability to communicate clearly with diverse teams

  • Openness to feedback and continuous learning


Preferred technical exposure

  • Basic working knowledge of SQL for data querying

  • Familiarity with Power BI or similar reporting tools

  • Awareness of data validation and quality checks

  • Exposure to analytics workflows and reporting concepts

  • Understanding of structured datasets and metrics

  • Willingness to learn tools used in enterprise analytics

  • Ability to review and interpret reports

  • Comfort working with spreadsheets and datasets

  • Interest in analytics automation and tooling

  • Readiness to upskill on new platforms


Soft skills and behavioral expectations

  • Clear verbal and written communication skills

  • Structured thinking and problem solving mindset

  • Ability to collaborate within cross functional teams

  • Professional approach to stakeholder interactions

  • Time management and task prioritization skills

  • Curiosity to understand business processes

  • Adaptability to changing requirements

  • Attention to quality and accuracy

  • Willingness to support team objectives

  • Ethical and responsible work behavior


Career growth and learning opportunities

  • Exposure to consulting style analytics engagements

  • Opportunity to work with experienced professionals

  • Structured learning and development programs

  • On the job training through real client work

  • Development of analytics and documentation expertise

  • Growth into senior analytics or consulting roles

  • Opportunity to explore multiple industries

  • Skill building in communication and stakeholder handling

  • Long term career stability within a global organization

  • Access to internal knowledge and best practices


Additional info

  • Role is suitable for fresh graduates and early professionals

  • Onsite work environment supporting collaboration

  • Full time opportunity with long term growth potential

  • Exposure to enterprise level analytics practices

  • Structured work processes and governance standards

  • Professional work culture with learning focus

  • Opportunity to build a strong analytics foundation

  • Performance driven environment with feedback

  • Team oriented work approach

  • Role aligned with analytics and business consulting domain


Please click here to apply.


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