Teleperformance Data Analytics Analyst II role in Gurugram. The position is part of the Data Science & Analytics function and focuses on data analysis, statistical modeling, visualization, automation and business insights.
The role involves working with existing datasets to identify patterns and trends, answer business questions and improve decision-making across areas such as marketing, financial services, supply chain and customer experience.
Teleperformance Data Analytics Analyst II – Overview
| Particular | Details |
|---|---|
| Company | Teleperformance |
| Job Title | Data Analytics Analyst II |
| Location | Gurugram, Haryana |
| Experience | 1–4 Years |
| Batch | Not Specified |
| Qualification | Any Graduate / Any Postgraduate |
| Employment Type | Full-Time, Permanent |
| Job Area | Data Science & Analytics |
| Industry | BPM / BPO |
| Key Skills | Data Analysis, Data Analytics, Data Science |
| Additional Skills | Statistical Modeling, Data Mining, Automation |
| Salary | Not Disclosed |
About the Data Analytics Analyst II Role
The Data Analytics Analyst II will work with business datasets to perform data collection, processing, cleaning, analysis, modeling and visualization.
The role requires candidates to examine data patterns and trends and convert their findings into useful insights that can support business decisions.
The position may also involve contributing to more complex Data Science and Big Data Mining projects and identifying opportunities to automate analytics processes.
Key Responsibilities
The selected candidate may be responsible for:
- Defining data requirements.
- Collecting data from relevant sources.
- Processing and cleaning datasets.
- Performing exploratory data analysis.
- Identifying data patterns and trends.
- Applying statistical modeling techniques.
- Creating data visualizations.
- Answering business questions through data.
- Supporting business decision-making.
- Contributing to Data Science projects.
- Supporting Big Data Mining initiatives.
- Identifying opportunities for analytics automation.
- Improving existing data analysis processes.
- Managing short-term analytics activities.
- Taking ownership of assigned projects.
- Supporting less-experienced professionals when required.
- Improving day-to-day analytics processes.
Eligibility
The supplied job listing mentions:
- Any Graduate
- Any Postgraduate
- 1–4 years of experience
The role is designed for professionals with practical knowledge of data analytics and related disciplines.
Batch Eligibility
The vacancy does not specify a graduation batch.
Since the experience range is relatively broad at 1–4 years, it would not be appropriate to claim a specific batch as officially eligible.
Candidates should evaluate eligibility based on their actual professional experience.
Skills Required
Data Analytics
Candidates should be comfortable analyzing datasets and converting raw information into useful business insights.
Statistical Modeling
Knowledge of statistical analysis and modeling is relevant to the position.
Data Cleaning
Candidates should understand how to process and clean datasets before analysis.
Data Visualization
The role includes presenting patterns, trends and findings through visualizations.
Data Mining
Exposure to data mining and large datasets can be valuable for the role.
Automation
Candidates should be able to identify opportunities to improve analytics processes through automation.
Business Analytics
Understanding how analytics can answer business questions and improve decision-making is important.
Business Areas
The role may involve analytics projects across different business areas, including:
- Marketing
- Advertising
- Financial Services
- Supply Chain
- Market Economics
- Scientific Research
- Customer Experience
- Omnichannel Operations
This provides exposure to different types of business data and analytics problems.
Work Environment
The position is based in Gurugram and is listed as Full-Time, Permanent.
The role requires independent ownership of analytics activities and may involve working on specialized projects.
Candidates may also be expected to help improve existing processes and provide professional guidance to less-experienced team members.
Interview Preparation
The supplied vacancy does not mention a specific interview process.
Candidates should prepare around:
- Data Analytics
- Statistics
- Statistical Modeling
- Data Cleaning
- Data Visualization
- Data Mining
- Big Data fundamentals
- Automation
- Business Analytics
- Problem Solving
- Case Studies
Candidates should also be ready to explain previous analytics projects and how they converted data into business insights.
What Should Candidates Prepare?
SQL
Revise:
- SELECT
- WHERE
- GROUP BY
- JOINs
- Aggregate functions
- Subqueries
- Window functions
- CTEs
Statistics
Focus on:
- Mean, median and mode
- Variance and standard deviation
- Probability
- Correlation
- Regression
- Hypothesis testing
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Data Analysis
Practice:
Data Collection → Cleaning → Analysis → Visualization → Insights
Data Visualization
Be comfortable explaining trends through dashboards, charts and other visual formats.
Automation
Understand how repetitive reporting and analytics processes can be automated to improve efficiency.
Business Case Studies
Practice answering questions such as:
“Sales have dropped by 10%. How would you analyze the data to identify the reason?”
Selection Process
The exact selection process is not provided in the supplied job listing.
Depending on the hiring process, candidates may go through application screening, an analytics assessment and interview rounds.
The actual process can vary.
Who Can Apply?
This opportunity can be relevant for candidates who:
- Have 1–4 years of relevant experience.
- Hold a graduate or postgraduate degree.
- Have experience in data analytics.
- Understand data analysis and visualization.
- Have knowledge of statistical concepts.
- Can work with large datasets.
- Understand data mining.
- Have business problem-solving skills.
- Are interested in analytics automation.
- Can work independently on assigned projects.
Career Scope
Experience in this position can help candidates progress toward:
- Senior Data Analyst
- Data Scientist
- Business Analyst
- Business Intelligence Analyst
- Analytics Consultant
- Data Science Specialist
- Big Data Analyst
- Analytics Manager
Developing stronger skills in SQL, Python, Power BI, Tableau, statistics, machine learning and cloud analytics can further improve career opportunities.
Frequently Asked Questions
What is the Teleperformance Data Analytics Analyst II role?
It is a Data Science & Analytics position involving data analysis, statistical modeling, visualization, data mining and analytics automation.
Where is the job located?
The position is based in Gurugram, Haryana.
What is the experience requirement?
The listed experience requirement is 1–4 years.
What qualification is required?
The listing accepts Any Graduate / Any Postgraduate.
Is this a full-time job?
Yes. It is listed as Full-Time, Permanent.
Is salary disclosed?
No. The supplied listing shows Not Disclosed for salary.
Is a specific graduation batch mentioned?
No. The employer has not specified a particular graduation batch.
What skills are important?
Key skills include Data Analysis, Data Analytics, Statistical Modeling, Data Mining, Visualization and Automation.
How to Apply for Teleperformance Data Analytics Analyst II
Interested candidates should review the latest vacancy details and complete their application through the relevant Teleperformance hiring platform.
✅ Apply / Check Latest Vacancy →
Candidates should verify the latest eligibility requirements and vacancy status before applying.
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