Teleperformance Recruitment 2026: Data Analytics Intern Role in Bangalore

If you are a fresher looking to step into the world of data analytics and data science, here is an exciting career opportunity for you. Teleperformance, one of the biggest global leaders in digital business services, has opened applications for the position of Data Analytics Intern at their Bangalore office. This internship is an excellent entry point for graduates who want to work on real-world datasets, learn how global operations use data insights, and gain hands-on experience in statistical analysis.

In this detailed guide, we will break down everything you need to know about this role at Teleperformance—including job responsibilities, candidate eligibility, key technical skills required, expected interview rounds, and a step-by-step application process.

About Teleperformance: Company Profile

Teleperformance (TP) is a giant in the global digital business services sector. Operating across nearly 100 countries with a diverse workforce of around 490,000 employees, Teleperformance serves top fortune 500 companies in various domains including financial services, healthcare, e-commerce, technology, and telecommunications.

In India, Teleperformance Global Business Services (GBS) plays a central role in driving business transformation, advanced analytics, customer experience optimization, and tech-enabled service automation. Working at Teleperformance offers freshers exposure to massive global operational datasets, direct access to experienced data science teams, and a supportive workplace culture that values continuous learning and career growth.

Detailed Job Responsibilities & What You Will Do

As a Data Analytics Intern, you will be directly involved in supporting the analytics lifecycle for internal business units and client delivery teams. You will work under the guidance of senior analysts and data scientists to solve real operational problems. Here are your main responsibilities:

• Data Collection & Cleaning: Define data requirements and gather raw data from multiple operational systems. Perform basic cleaning, validation, and preprocessing to ensure high data accuracy.
• Exploratory Data Analysis (EDA): Examine large datasets to spot patterns, underlying trends, outliers, and correlations that answer key business queries.
• Statistical Modeling: Apply fundamental statistical techniques and basic machine learning algorithms on datasets across financial, marketing, operational, or supply chain domains.
• Data Visualization & Reporting: Help design clean, easy-to-read charts, dashboards, and summary reports for decision-makers and management.
• Process Automation: Identify routine analytics tasks and help write simple scripts or workflows to automate reporting processes for better efficiency.
• Big Data & Data Science Support: Provide initial data inputs, feature ideas, and foundational analysis for complex data science and big data mining projects led by senior teams.

Detailed Eligibility Criteria

Teleperformance is seeking energetic candidates who have strong analytical aptitude and eagerness to learn. Here are the specific educational background and eligibility expectations:

• Educational Degrees: B.E / B.Tech (Computer Science, Information Technology, AI/ML), BCA / MCA, B.Sc / M.Sc in Statistics, Data Science, Mathematics, or Economics.
• Graduation Year: Freshers from 2024, 2025, or 2026 passing out batches are encouraged to apply.
• Experience Level: 0 to 1 year of experience. Freshers with internship or academic project experience in data analytics will have an added advantage.
• Academic Performance: Good basic technical understanding of standard data analysis tools and methods, along with clear communication skills.

Key Technical & Soft Skills Required

To stand out during the application screening and interviews, you should highlight the following skill sets on your resume:

• Data Analysis & SQL: Basic understanding of relational databases and standard SQL queries (joins, aggregations, filtering) to fetch data efficiently.
• Python or R Programming: Familiarity with Python libraries like Pandas, NumPy, and Matplotlib for basic data manipulation and visual insights.
• Advanced Excel: Proficiency in formulas, VLOOKUP/XLOOKUP, Pivot Tables, and basic data formatting.
• Data Visualization: Hands-on exposure or academic familiarity with tools like Power BI, Tableau, or Google Looker Studio.
• Statistical Knowledge: Clear understanding of basic statistical concepts such as mean, median, standard deviation, probability distributions, hypothesis testing, and regression analysis.
• Problem Solving & Curiosity: A curious mindset that enjoys digging into raw numbers to figure out why something is happening and how to fix or improve it.

Expected Selection Process

While exact recruitment stages can vary based on application volume, the typical hiring workflow at Teleperformance for fresh analytics roles includes:

1. Resume Shortlisting: Initial screening based on academic qualifications, technical skills, and resume projects related to analytics.
2. Online Aptitude & Technical Test: An online test assessing logical reasoning, basic quantitative aptitude, SQL queries, and basic statistics/coding.
3. Technical Interview: Discussions with a technical manager focusing on your projects, SQL proficiency, Excel skills, data cleaning methods, and basic problem-solving scenarios.
4. HR / Managerial Round: Assessment of communication skills, work attitude, team fit, willingness to work in Bangalore, and internship alignment.

Tips to Help You Prepare & Get Selected

• Highlight Academic Projects: Make sure your resume prominently features 1 or 2 solid analytics projects. Mention what dataset you used, how you cleaned the data, and what business insights you found.
• Brush Up SQL Fundamentals: Focus on practicing SQL joins, subqueries, group by clauses, and basic aggregation functions on platforms like LeetCode or HackerRank.
• Be Ready to Explain Your Code: If you wrote a Python script or built a dashboard, be prepared to walk the interviewer through your step-by-step logic clearly.

How to Apply Step-by-Step

Applying for this position is simple and takes just a few minutes through Teleperformance's official Workday portal:

1. Click on the official application link given below.
2. Review the complete job description on the Teleperformance Workday page.
3. Click on the Apply button on their career page.
4. Upload your updated resume, fill in your personal, academic, and project details, and submit your application.

Apply as soon as possible before the job posting closes on the official portal.