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

Position:

• Data Analyst
• Entry level role focused on data analysis, reporting, and business insights
• Opportunity to work closely with multiple business teams and stakeholders

Company:

• Lenovo
• A global technology company known for innovation in devices, infrastructure, and intelligent solutions
• Strong presence across multiple industries including computing, AI, and enterprise solutions

Location:

• Bangalore, Karnataka, India
• Based in one of India’s leading technology hubs with access to a thriving ecosystem of innovation and talent

Job type:

• Full time
• Permanent role with long term career growth opportunities

Job mode:

• Onsite or hybrid depending on business requirements
• Collaboration with teams across departments and possibly global stakeholders

Job requisition id:

• WD00094876

Years of experience:

• 0 to 3 years
• Suitable for fresh graduates and early career professionals looking to start in analytics

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Company description:

• Lenovo is a globally recognized technology organization with a strong reputation for delivering high quality products and solutions across various markets
• The company operates in over 180 markets and serves millions of customers daily, making it one of the most widely trusted brands in the technology sector
• With revenue reaching tens of billions of dollars, Lenovo has consistently maintained its position among top global companies listed in major rankings such as the Fortune Global 500
• The organization has evolved from being a personal computer manufacturer to a full stack technology provider offering devices, infrastructure, software, and services
• Lenovo’s product ecosystem includes personal computers, workstations, smartphones, tablets, servers, storage systems, and high performance computing solutions
• The company is heavily focused on artificial intelligence driven transformation, ensuring that its offerings are aligned with modern technological needs
• Lenovo is committed to building smarter technology solutions that are accessible to everyone, promoting inclusivity and digital transformation
• Continuous investment in innovation allows the company to remain competitive while delivering cutting edge solutions to businesses and individuals
• The organization promotes a culture of accountability, ownership, and customer satisfaction, encouraging employees to take initiative and deliver impactful results
• Lenovo also emphasizes ethical business practices and transparency, ensuring compliance with global standards and maintaining trust among customers and stakeholders

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Profile overview:

• The Data Analyst role is designed for individuals who are passionate about working with data and transforming raw information into meaningful insights
• The role involves collaborating with business leaders, project sponsors, and analytics teams to understand specific data requirements and objectives
• Candidates will be responsible for handling large datasets, ensuring data accuracy, and generating insights that support business decision making
• A key part of the role includes building dashboards, reports, and visualizations that clearly communicate trends and findings to stakeholders
• The position requires applying analytical thinking and problem solving skills to uncover patterns and opportunities within data
• Individuals in this role will contribute to improving the organization’s analytics capabilities by working on algorithms and data driven solutions
• The role also includes participating in the development of proof of concepts, allowing candidates to experiment with new ideas and techniques
• Collaboration is a central aspect, as the analyst will work with teams such as sales, marketing, product management, and business analysis
• Communication skills are important, as insights must be presented in a clear and understandable manner to both technical and non technical audiences
• This position offers strong exposure to real world business challenges and provides a solid foundation for a career in analytics and data science

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Qualifications:

• Bachelor’s degree in a relevant field such as data science, statistics, computer science, mathematics, or a related discipline
• Basic understanding of data analysis concepts and techniques including data cleaning, transformation, and visualization
• Familiarity with tools and programming languages such as Python, SQL, or similar technologies used in analytics workflows
• Knowledge of statistical methods and their application in analyzing datasets and deriving insights
• Ability to work with large datasets and handle data from multiple sources efficiently
• Understanding of business concepts and the ability to align data analysis with business goals
• Strong problem solving skills and attention to detail to ensure accuracy in analysis and reporting
• Good communication skills to present findings clearly and effectively to stakeholders
• Ability to collaborate with cross functional teams and contribute to group discussions and decision making
• Willingness to learn new tools, techniques, and technologies as required by the role
• Basic understanding of data visualization tools and dashboard creation is an added advantage
• Exposure to machine learning concepts or analytics projects during academic or internship experience can be beneficial

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Additional info:

• The role offers an opportunity to work in a global organization with exposure to diverse teams and business functions
• Employees are encouraged to take ownership of their work and contribute actively to organizational goals
• Lenovo follows structured recruitment processes that include multiple stages such as interviews, evaluations, and final approvals
• Candidates may be assessed through virtual or in person interactions depending on the hiring process
• The company maintains strict policies to ensure transparency and fairness in hiring practices
• Applicants are advised to apply only through official channels to avoid any fraudulent activities
• Lenovo does not request any payment or sensitive personal information during the recruitment process
• The organization provides a supportive work environment that encourages innovation and continuous learning
• Employees may get opportunities to work on advanced technologies including artificial intelligence and data driven solutions
• The company promotes diversity and inclusion, ensuring equal opportunities for individuals from different backgrounds
• Strong emphasis is placed on accuracy, timelines, and quality of deliverables in day to day work
• This role can serve as a stepping stone for career growth into advanced analytics, data science, or leadership positions within the organization

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Key Responsibilities:

• Collaborate with business leaders and stakeholders to understand data needs and translate them into actionable tasks
• Collect and manage large datasets from multiple internal and external sources
• Clean, process, and prepare data for analysis ensuring consistency and accuracy
• Perform data analysis to identify trends, patterns, and insights that support business objectives
• Create dashboards and reports that provide clear visibility into performance metrics
• Use analytical techniques to support decision making across different business functions
• Apply innovative approaches and techniques to improve understanding of markets and internal operations
• Review and enhance existing analytical models and algorithms to improve efficiency and effectiveness
• Support development and testing of proof of concepts related to analytics solutions
• Conduct data quality checks to ensure reliability and accuracy of outputs
• Work closely with cross functional teams including sales, marketing, and product management
• Communicate findings through visualizations, presentations, and reports to stakeholders
• Ensure timely delivery of projects while maintaining high standards of quality
• Continuously explore new tools and methods to improve analytics capabilities

Please click here to apply.