WiproData & AnalyticsOfficial Job Posting

Data Analyst at Wipro

Gurugram, HaryanaOnsite3–6 Years2020, 2021, 2022, and 2023 batc

Wipro Limited is seeking an experienced Data Analyst (Assistant Manager level) for its Gurugram location. In this role, you will be responsible for designing, building, and maintaining backend data pipelines and analytical datasets supporting large-scale business operations. The position focuses on advanced SQL development, ETL processes, and data modeling, along with analytical insights and dashboard creation using Google’s data ecosystem.

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Official Role Details

Role Overview

The position focuses on advanced SQL development, ETL processes, and data modeling, along with analytical insights and dashboard creation using Google’s data ecosystem.

Applicant Requirements

Eligibility Criteria & Qualifications

Degree / QualificationB.E / B.Tech / MCA / B.Sc

Eligible Batches2020, 2021, 2022, and 2023 batc

Official Eligibility Points

Any Graduate degree (Engineering, Computer Science, Mathematics, or Statistics preferred).
3 to 6 years of hands-on experience in backend data engineering or analytics roles.
Proven experience with ETL processes, data pipeline development, and data modeling in enterprise environments.

Day-to-Day Deliverables

Key Responsibilities

Data Preparation & Quality

•Design, develop, and maintain robust SQL-based data pipelines supporting ETL workflows.
•Build and maintain Looker Studio dashboards and PLX views for business performance monitoring and insights.

Analysis, Reporting & Visualization

•Work extensively on advanced SQL (Google SQL / BigQuery) for data extraction, transformation, and aggregation.

Insights & Stakeholder Communication

•Develop and optimize PLX scripts for backend data processing and automation.

Technical Qualifications

Required Skills & Technologies

Advanced SQLGoogle BigQueryETL Data PipelinesData ModelingPLX ScriptsLooker StudioPython / Scripting

Official Application Method

How to Apply

Submit your application directly through Wipro's verified careers portal.

Review the published role requirements, degree qualifications, and eligible graduation batches above.

Ensure your resume highlights relevant projects and contains working GitHub repository links.

Click the official application button below to open Wipro's direct careers page.

Complete and submit your application directly on the employer's portal.

Apply on Wipro Official Careers Page

You will be directed to Wipro's official careers portal. Career Insights does not process applications or charge any candidate fees.

The specifications above are verified official details published by Wipro. Candidates should verify all final terms, deadlines, and eligibility directly on Wipro's official careers portal before submitting an application.

Career Insights

Recommended Preparation

Independent editorial guidance based on the published role information.

What to Prepare

Evaluate your data analysis and quantitative background against published criteria and hands-on preparation focus areas.

Education & Academic Criteria

Cohort: Eligible: 2020, 2021, 2022, and 2023 batcPublished Requirement

Published Requirement

B.E / B.Tech / MCA / B.Sc

Preparation Focus

Hiring evaluations prioritize demonstrable problem-solving, domain competence, and practical project evidence over specific degree pedigree.

SQL & Data Querying

Published Requirement

Proficiency in relational databases, SQL queries, and data extraction.

Preparation Focus

Master complex SQL operations: Window functions (ROW_NUMBER, RANK, DENSE_RANK), CTEs, multi-table JOINs, and query execution plan analysis.

Data Analysis & Visualization

Published Requirement

Data cleaning, transformation, and reporting dashboards.

Preparation Focus

Be prepared to clean messy datasets using Python (Pandas/NumPy) or Excel, identify statistical outliers, and explain KPI metric definitions.

Data Storage & Persistence

Published Requirement

Familiarity with databases, schema modeling, and structured query writing.

Preparation Focus

Be prepared to explain relational normalization (1NF-3NF), indexing trade-offs, foreign key constraints, and transactional consistency.

Version Control & Engineering Hygiene

Published Requirement

Familiarity with Git branching, pull requests, and collaborative repository management.

Preparation Focus

Review Git branch workflows, pull request code reviews, and maintain clean commit history with descriptive messages.

Work Mode & Collaboration

Published Requirement

Onsite (Gurugram, Haryana) operational structure.

Preparation Focus

Highlight proactive written communication, technical documentation discipline, and the ability to troubleshoot errors systematically before escalating.

Technical Topics

Depending on the hiring team’s evaluation style, technical assessments for this role typically cover these core areas:

Topic 1: Advanced SQL & Data Extraction

Preparation Topic

Window functions (ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD)
Common Table Expressions (CTEs), multi-table JOINs, and subqueries
Query optimization, index utilization, and execution plan review

Preparation Tip: Practice writing complex SQL aggregations on paper or in an editor, explaining your reasoning around NULL handling and join cardinalities.

Topic 2: Data Cleaning, Wrangling & Validation

Preparation Topic

Handling missing values, duplicated records, and date/time conversions
Using Python (Pandas/NumPy) or SQL for data hygiene and transformation
Detecting statistical outliers and verifying data distribution integrity

Preparation Tip: Explain your systematic approach to validating a raw dataset before performing any modeling or executive reporting.

Topic 3: Metric Definition, KPI Modeling & Dashboard Architecture

Preparation Topic

Designing intuitive business dashboards (Power BI, Tableau, Looker)
Formulating unambiguous metric definitions (retention, churn, cohort LTV)
Choosing appropriate data visualizations for business decision-making

Preparation Tip: Be prepared to demonstrate how you designed a dashboard so that executives can draw actionable insights within seconds rather than hunting through tables.

Topic 4: Business Problem Solving with Data & Hypothesis Testing

Preparation Topic

Formulating testable hypotheses from operational questions
Segmenting customer or operational cohorts to isolate drivers
Translating statistical patterns into concrete operational recommendations

Preparation Tip: Pick a dataset project from your portfolio and clearly articulate: what was the business question, what did the data reveal, and what decision was made.

Topic 5: Cross-Functional Storytelling & Analytical Communication

Preparation Topic

Explaining data nuances and limitations to non-technical team members
Answering questions about statistical confidence and data provenance
Collaborative iteration with product managers and engineers

Preparation Tip: Frame analytical results around business impact: revenue saved, efficiency gained, or risk avoided.

* Note: These are independent Career Insights editorial recommendations to help candidates structure their study plan. They do not represent guaranteed interview stages or official hiring mandates from Wipro.

Practical Project

Turn the listed data skills into a portfolio exercise using a realistic dataset, analysis workflow, and decision-focused output.

Practical Project

Customer Cohort Retention & Churn Analyzer

Recommended Preparation Project

What to Build

A SQL-driven analytics project that calculates monthly cohort retention, customer lifetime value, and churn indicators from raw transaction tables.

Skills Demonstrated

Advanced SQL (Window Functions, CTEs), Data Modeling, Business Intelligence Visualization, Statistical Analysis

GitHub Deliverables

Include database schema diagrams, reproducible sample data generation scripts, and screenshots of key cohort insights charts.

Interview Talking Points

Query optimization techniques for large event tables and how you accounted for edge cases like returning inactive users.

Career Insights recommendation: This project is an independent editorial recommendation designed to help candidates build verifiable portfolio evidence. It is not required or sponsored by Wipro.

Before You Apply

Verify your dataset portfolios, dashboard presentations, and application materials before applying.

1. Role-Tailored Resume & Data Portfolio Links

Ensure your resume highlights SQL queries, data manipulation projects, and interactive dashboard links involving Advanced SQL, Google BigQuery, ETL Data Pipelines.

2. Eligibility & Qualifications Verification

Confirm that your degree, graduation year (2020, 2021, 2022, and 2023 batc), and location match Wipro's criteria.

3. Data Project & Metric Walkthrough Review

Have 1–2 data analysis projects prepared. Be ready to explain your data cleaning methodology, SQL aggregation queries, and actionable conclusions.

4. Direct Submission on Wipro's Official Portal

Submit your application directly through Wipro's official careers portal using the verified apply link below. Career Insights does not process applications or charge any candidate fees.

Career Growth Context

Editorial analysis of how this role builds quantitative expertise and strategic analytical influence.

Data Architecture & Tooling Orientation

Familiarity with enterprise data warehouses, schema design, SQL data pipelines, and internal business metrics.

Exploratory Analysis & Dashboard Engineering

Constructing performant business intelligence dashboards, validating dataset integrity, and automating recurring analytical reporting.

Statistical Modeling & Strategic Insights

Conducting cohort analyses, predictive modeling, and identifying trends that drive product, operational, or business efficiency.

Progression Toward Senior / Lead Analytics Partner

Defining data governance standards, leading cross-functional data initiatives, and guiding organizational decision-making with executive stakeholders.

Career Insights Context: Career advancement in data and analytics is driven by quantitative rigor, clear stakeholder communication, and the demonstrated ability to turn raw data into high-leverage business decisions.

Career Insights Editorial Standards

This page provides verified job details sourced from Wipro's recruitment announcement, alongside independent preparation roadmaps authored by the Career Insights editorial team. Career Insights is not affiliated with Wipro and does not collect candidate data or charge application fees.