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

Position:

• Data Analyst
• Entry level role designed for individuals beginning their journey in data analytics and business intelligence
• Opportunity to work on real world datasets and contribute to business decision making
• Focus on extracting insights from structured and unstructured data sources
• Involves collaboration with multiple teams and stakeholders across the organization

Company:

• Kyndryl
• A global technology services company focused on managing and modernizing critical IT systems
• Known for supporting large enterprises with infrastructure and digital transformation initiatives
• Strong emphasis on innovation, cloud computing, analytics, and AI driven solutions

Location:

• Bangalore, Karnataka, India
• One of the major technology hubs in India with access to a strong ecosystem of IT professionals
• Offers exposure to large scale enterprise projects and global clients

Job type:

• Full time employment
• Permanent role with long term career growth opportunities
• Structured work environment with defined responsibilities and learning paths

Job mode:

• In person role
• Requires presence at the office location for collaboration and teamwork
• Encourages direct interaction with peers, managers, and stakeholders

Job requisition id:

• R-59545

Years of experience:

• 0 to 3 years
• Suitable for freshers and early career professionals
• Open to candidates with internships, academic projects, or entry level exposure in analytics

Company description:

• Kyndryl operates as a leading organization that focuses on managing and transforming mission critical technology systems for businesses across industries
• The company supports enterprises by ensuring that their IT infrastructure runs efficiently, securely, and reliably
• It works with some of the world’s largest organizations and plays an important role in enabling digital transformation and operational excellence
• The organization emphasizes the use of advanced technologies such as artificial intelligence, cloud computing, and data analytics to drive better outcomes for clients
• Employees at Kyndryl are encouraged to work on meaningful projects that have a direct impact on business performance and customer success
• The company promotes a culture where innovation and collaboration are deeply valued
• There is a strong focus on continuous learning, allowing employees to upgrade their skills and stay relevant in a fast changing technology environment
• Kyndryl also prioritizes employee well being and ensures that individuals have access to resources that support their personal and professional growth
• The workplace culture is inclusive and encourages individuals from diverse backgrounds to contribute and grow together
• Employees are given opportunities to work with global teams and gain exposure to international standards and practices
• Overall, Kyndryl positions itself as a company that combines technical excellence with a human centered approach to work

Profile overview:

• The Data Analyst role is centered around transforming raw data into meaningful insights that support business strategies
• Candidates in this position are expected to analyze large datasets and identify trends, patterns, and anomalies
• The role involves working closely with clients and internal teams to understand business requirements and translate them into data driven solutions
• A strong emphasis is placed on using analytical thinking and statistical knowledge to interpret data effectively
• The individual will be responsible for creating visual representations of data that clearly communicate findings to stakeholders
• Communication plays a key role, as insights must be presented in a way that both technical and non technical audiences can understand
• The role also requires problem solving skills to address complex business challenges using data
• Analysts will engage in data preparation activities such as cleaning, organizing, and structuring datasets for analysis
• Collaboration is a core part of the role, involving coordination with different departments to ensure data accuracy and relevance
• The position encourages the use of modern tools and technologies for data analysis and visualization
• Candidates will also be expected to develop a strong understanding of business processes and decision making frameworks
• Over time, the role evolves into a more consultative position where the analyst contributes to strategic discussions
• The ability to connect data insights with business outcomes is highly valued
• Overall, this role offers a balanced mix of technical, analytical, and communication responsibilities

Qualifications:

• Strong foundation in analytical thinking and problem solving abilities
• Ability to interpret complex datasets and derive meaningful insights
• Good communication skills, both written and verbal, to present findings effectively
• Capability to handle multiple tasks and manage time efficiently while maintaining accuracy
• Familiarity with data analysis tools and programming languages such as Python, SQL, or R
• Understanding of visualization tools such as Power BI, Looker, or similar platforms
• Basic knowledge of statistics and data modeling concepts
• Educational background in quantitative fields such as engineering, finance, economics, or related disciplines
• Exposure to cloud based data platforms or analytics environments is an added advantage
• Certifications in data analytics or related areas can enhance candidacy
• Ability to work collaboratively in a team environment and contribute to shared goals
• Willingness to learn new tools, technologies, and methodologies
• Attention to detail when working with datasets to ensure data quality and accuracy
• Interest in business processes and the ability to connect data insights to real world applications
• A proactive attitude towards continuous improvement and skill development

Additional info:

• The organization provides structured learning opportunities to help employees grow in their careers
• Employees can access certifications from leading technology providers such as Microsoft, Google, and Amazon
• The company offers programs focused on overall well being, including financial, mental, physical, and social aspects
• There is a strong emphasis on career development, with tools and guidance to help individuals plan their growth path
• Employees receive regular feedback and support to improve their performance and achieve their goals
• The work environment encourages innovation and experimentation, allowing employees to explore new ideas
• Team collaboration is highly valued, with opportunities to work on cross functional projects
• The company promotes a culture of inclusion where all individuals feel respected and valued
• Employees are encouraged to apply even if they do not meet all listed requirements, highlighting the focus on potential rather than perfection
• The role provides hands on experience with real world data and business scenarios
• Opportunities exist to specialize in specific areas of analytics or expand into broader domains
• The company supports continuous learning through training sessions, workshops, and mentorship
• Employees are expected to contribute actively to team success and organizational goals
• The workplace fosters a sense of belonging and encourages open communication
• Overall, the role offers a strong foundation for building a successful career in data analytics

Please click here to apply.