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✔ Read the complete job details carefully before applying
✔ Apply only if you meet the required technical and educational criteria
✔ Selection will be based purely on company hiring norms
✔ If your resume is shortlisted, all communication will be sent to your registered email ID
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🏢 About the Company

This opportunity is with a global organization, NTT DATA, known for its strong focus on data-driven decision-making, analytics, and business intelligence solutions. The company offers a collaborative work culture, flexible work options, and equal-opportunity employment practices. Employees benefit from competitive compensation, long-term career growth, and inclusive workplace policies, including equal benefits for same-sex couples and multiple employee resource groups (ERGs).

💼 About the Role

The Data & Business Insights Analyst role focuses on analyzing business and operational data to generate actionable insights. A major part of the work involves Data Science and Natural Language Processing (NLP) projects. This position is ideal for candidates who are confident in Machine Learning and interested in working on real-world NLP use cases end-to-end.

Fresh graduates and early professionals who can demonstrate strong analytical thinking and project experience are highly encouraged to apply.

📋 Job Overview


  
    Job Role
    Data & Business Insights Analyst
  
  
    Location
    Chennai, Tamil Nadu
  
  
    Experience Required
    0 – 2 Years
  
  
    Work Mode
    Hybrid / Flexible Work Options
  
  
    Employment Type
    Full-Time
  
  
    Primary Domain
    Data Science / Business Analytics / NLP

Job Role	Data & Business Insights Analyst
Location	Chennai, Tamil Nadu
Experience Required	0 – 2 Years
Work Mode	Hybrid / Flexible Work Options
Employment Type	Full-Time
Primary Domain	Data Science / Business Analytics / NLP

🛠 Key Responsibilities

Work on Data Science and Business Analytics projects, with a strong focus on NLP
Perform data preparation, cleaning, and feature engineering
Build and evaluate machine learning models for analytics use cases
Develop and explain end-to-end NLP projects, including model logic and performance
Apply algorithms such as CNN, RNN, SVM, n-grams (bigram, trigram), topic modeling, and embeddings
Create dashboards and reports using Power BI
Collaborate with cross-functional teams to translate data into business insights

🎯 Eligibility / Qualifications

Bachelor’s degree in Engineering, Science, or a related discipline
Strong foundation in Machine Learning concepts
Hands-on experience or project exposure in NLP
Proficiency in:
- Python
- R
- Power BI
Understanding of data analytics, statistics, and business intelligence
Candidates confident in ML and willing to learn NLP are also eligible

⏰ Shift / Work Schedule

Standard business working hours
Hybrid and flexible work options available depending on project requirements

📑 Selection Process


  
    Stage
    Details
  
  
    Resume Screening
    Shortlisting based on skills, projects, and experience
  
  
    Technical Discussion
    Focus on Data Science, ML, and NLP concepts
  
  
    Project Presentation
    Candidate must explain an end-to-end NLP project
  
  
    Final Discussion
    Business insights, analytics understanding, and role fit

Stage	Details
Resume Screening	Shortlisting based on skills, projects, and experience
Technical Discussion	Focus on Data Science, ML, and NLP concepts
Project Presentation	Candidate must explain an end-to-end NLP project
Final Discussion	Business insights, analytics understanding, and role fit

🧾 How to Apply

Prepare an updated resume highlighting Data Science, ML, and NLP projects
Clearly mention tools used (Python, R, Power BI, ML algorithms)
Be ready to present and explain an NLP project end-to-end
Submit the application through the company’s official careers portal
Monitor your registered email ID for further communication

Apply HERE

📌 Important Notes

This role emphasizes practical project knowledge, not just theory
Ability to explain the inner workings of ML/NLP models is critical
Flexible work benefits and inclusive policies are part of the organization’s culture
Final selection depends entirely on company evaluation standards

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