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IBM is hiring for a Data Analyst Intern role in India




Position:

  • Data Analyst Intern

Company:

  • IBM India Private Limited

Location:

  • Gurgaon, Haryana and Bangalore, Karnataka, India

Job type:

  • Internship (Fixed Term)

Job mode:

  • Hybrid

Job requisition id:

  • 44158

Years of experience:

  • None

Company description:

  • IBM, established in 1911, is one of the world’s oldest and largest technology companies.

  • Known globally for its legacy in computing, IBM has transformed into a hybrid cloud and AI powerhouse.

  • The company serves clients in over 170 countries and collaborates with Fortune 50 companies for digital transformation and modernization.

  • IBM’s consulting wing, IBM Consulting, plays a pivotal role in delivering expert guidance in business and technology services.

  • With innovations across AI, quantum computing, blockchain, and hybrid cloud infrastructure, IBM continues to lead global tech evolution.

  • IBMers, the term for employees, are known for their problem-solving capabilities and innovative mindset.

  • The company fosters a diverse and inclusive culture where all individuals are respected regardless of background or identity.

  • IBM emphasizes responsible tech development and usage, staying committed to making a positive impact on business, society, and the environment.

Profile overview:

  • The internship role of Data Analyst at IBM is designed for individuals eager to get real-world exposure to data-related projects.

  • This position offers practical engagement with data cleaning, processing, and visualization tasks that directly contribute to business outcomes.

  • Interns will collaborate with senior analysts and team leads to understand key principles of business intelligence and decision support.

  • Day-to-day tasks include working with tools such as Excel, Power BI, and Tableau, along with SQL and potentially Python or R.

  • Interns will be given opportunities to perform exploratory data analysis and interpret business patterns and trends.

  • The role requires a strong foundation in analytical reasoning and a passion for drawing meaningful insights from raw data.

  • Interns will also take part in documenting processes and delivering structured reports or dashboards to internal stakeholders.

  • The experience is designed to build confidence, skill, and professional aptitude in a supportive team-oriented setting.

Qualifications:

  • Candidates should be currently enrolled in a Bachelor’s program in fields such as Data Science, Statistics, Computer Science, or a closely related discipline.

  • A sound understanding of data handling principles and a keen interest in analytical problem-solving are key attributes for this role.

  • Knowledge of spreadsheet tools like Excel is essential for performing fundamental analysis.

  • Familiarity with SQL is preferred, particularly for retrieving and managing structured data from relational databases.

  • Exposure to data visualization platforms like Power BI or Tableau will be considered a strong advantage.

  • A working knowledge of Python or R is helpful, though not mandatory.

  • Candidates must possess strong communication skills, enabling them to explain technical findings in clear, concise language.

  • Teamwork, reliability, and willingness to learn are critical qualities sought in successful applicants.

Additional info:

  • The internship is located in Gurgaon and Bangalore with a hybrid work format, allowing a combination of remote and onsite collaboration.

  • IBM promotes a professional environment where interns receive mentorship, ongoing feedback, and chances to improve their technical capabilities.

  • The role requires no travel, and interns will operate within general daytime working hours.

  • Interns will gain exposure to IBM’s cloud-focused consulting services, as well as its tools and frameworks for analytics and business transformation.

  • IBM emphasizes a growth mindset; interns are expected to be curious, open to feedback, and proactive in developing new competencies.

  • This internship is not associated with any sales incentives or commission structure.

  • Interns will be part of a global workforce that values integrity, accountability, and trust.

  • Upon successful completion of the internship, individuals may become eligible for consideration in IBM’s early-career programs, depending on business needs and performance.

Detailed Responsibilities and Exposure During Internship

Understanding Data and Assisting in Preparation

  • Interns will participate in collecting structured and unstructured data from various sources across departments and platforms.

  • You'll learn how to clean, validate, and organize data into formats suitable for analysis.

  • The internship emphasizes meticulous data integrity and ensuring accuracy at each step of the data preparation process.

Performing Exploratory Data Analysis (EDA)

  • Use statistical techniques to explore patterns, correlations, and anomalies in datasets.

  • Assist in segmenting datasets to understand behavior by geography, demographics, or performance indicators.

  • Document and summarize findings for review with mentors and stakeholders.

Generating Visual Insights

  • Learn to design charts, graphs, and dashboards using visualization tools such as Power BI, Tableau, or Excel.

  • Gain practical experience in choosing appropriate visualization types based on the business context and audience.

  • Present data summaries to internal teams, enhancing communication and storytelling abilities.

Business Intelligence Support

  • Help support analysts and consultants with insights for client proposals and internal decision-making.

  • Translate analytical findings into business questions and answers.

  • Observe how raw metrics evolve into strategic inputs that influence client direction or operational actions.

Strategic Recommendations and Trend Spotting

  • Participate in discussions that link data findings to business objectives.

  • Use tools and frameworks to detect trends and patterns that could suggest new strategies or highlight potential risks.

  • Learn to prioritize insights that offer the most value or reveal potential process inefficiencies.

Documentation and Reporting

  • Learn best practices for documenting data pipelines, processes, and analytical steps.

  • Develop templates for reports and presentations based on internal team standards.

  • Practice articulating findings in a structured format that is digestible by both technical and non-technical stakeholders.

Personal and Professional Growth Opportunities

Mentorship and Learning Culture

  • IBM provides structured mentorship to interns via scheduled check-ins and project supervision.

  • Interns are encouraged to ask questions, seek clarification, and participate in peer discussions to deepen understanding.

Interdisciplinary Exposure

  • The internship allows collaboration with professionals from business consulting, cloud solutions, AI development, and data engineering.

  • This broad exposure helps contextualize data work within larger digital transformation goals.

Emphasis on Experimentation and Innovation

  • IBM nurtures a workplace culture that encourages experimentation without fear of failure.

  • Interns are expected to think critically, suggest improvements, and take initiative where possible.

Core Skills You’ll Build

Technical Tools

  • Intermediate Excel functions including pivot tables, VLOOKUP, conditional formatting, and basic VBA macros.

  • SQL for querying data from relational databases.

  • Visualization techniques in Power BI or Tableau.

  • Exposure to Python or R for scripting data transformation or statistical tasks.

Analytical Thinking

  • Framing questions that can be answered with data.

  • Understanding the assumptions behind metrics.

  • Comparing findings to benchmarks or baselines.

  • Differentiating correlation from causation.

Communication and Presentation

  • Structuring presentations with visual clarity.

  • Adapting communication style to technical and non-technical audiences.

  • Writing clear documentation that outlines procedures, data assumptions, and outcomes.

Key Values at IBM

  • Curiosity and eagerness to learn every day.

  • Trust, honesty, and responsibility in all interactions.

  • Embracing diversity and inclusion without compromise.

  • Courage to make decisions and take action in the face of uncertainty.

  • A growth mindset that values experimentation over perfection.

Work Environment

  • Hybrid work model with flexibility for in-person and remote collaboration.

  • No requirement for travel during the internship period.

  • Shift timings follow a standard daytime schedule.

Application Guidelines

  • Candidates should ideally apply to no more than three IBM roles per year to ensure a smooth application process.

  • Each application is reviewed for alignment with the candidate’s background, interests, and potential contribution to the team.

  • For any location-based preferences or constraints, discussions can be held during the recruitment process.

Equal Opportunity Statement

  • IBM is an equal opportunity employer that actively embraces diversity across all levels.

  • The company does not discriminate on any basis including caste, race, gender, disability, religion, age, or citizenship status.

  • IBM fosters a workplace where people of all backgrounds can thrive, contribute, and feel valued.


Please click here to apply.



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