Cognizant logo
✓ Verified Listing🔥 Viewed by 69+ students today

Data Analyst

CognizantPosted 4 days agoLast checked Aug 6, 2026
Apply Now
📍 Bangalore
💼 Fresher/Exp
Full-time
🎓 Any Batch
🚀 Data Science
💰Competitive (Company Standard)

🏢 About Cognizant

Cognizant is a leading organization in the technology and services industry, committed to driving innovation and digital transformation. They provide a dynamic and supportive environment for early-career professionals to learn, collaborate, and build solutions at scale. Freshers at Cognizant are integrated into production teams with structured onboarding and mentorship.

Job Details & Requirements

Verified Employer Listing

Job Description

Data Analyst

00069824501

Date published

Jul 30 2026 Bangalore / India

Job category

Technology & Engineering

Work model

Hybrid

Job Summary

This hybrid role for an experienced data analyst involves using Python Excel VBA macros Tableau Power BI and exploratory data analysis to transform complex datasets into actionable insights for an international organization. The analyst will design efficient reporting solutions optimize data workflows and support strategic decisions across business units while applying industry essentials knowledge to improve processes and contribute to sustainable growth.

🎯 What Success Looks Like in This Role

Analyze complex business datasets using exploratory data analysis techniques to uncover trends patterns and anomalies that directly inform strategic decisions and operational improvements across the organization.

Develop robust data models and analytical frameworks in Python that standardize calculations support predictive insights and enable scalable reuse across teams and projects.

Good experience in Power BI

Design and maintain advanced Excel workbooks and macro driven solutions that automate repetitive tasks improve data accuracy and significantly reduce manual processing time for stakeholders.

Build interactive Tableau dashboards and visual analytics that clearly communicate key performance indicators helping business partners quickly understand results and act on data driven recommendations.

Collaborate with cross functional teams to gather requirements translate business questions into analytical problems and deliver clear outputs that align with enterprise priorities and industry essentials.

Implement rigorous data quality checks using MS Excel Python and other tools to validate sources reconcile discrepancies and ensure decision makers can rely on consistent and accurate information.

Optimize data pipelines and reporting workflows by reviewing existing processes identifying bottlenecks and proposing automation strategies that improve efficiency in a hybrid work environment.

Document analytical methods datasets assumptions and business rules in a detailed yet accessible manner to support transparency reproducibility and onboarding of new team members.

Provide actionable insights through well structured reports and presentations that highlight business impact quantify opportunities and support continuous improvement across day shift operations.

Partner with stakeholders to perform scenario analyses and what if assessments using Excel VBA and Python models evaluating potential outcomes and supporting risk aware planning.

Apply industry essentials knowledge to benchmark performance interpret external trends and ensure that analytical outputs reflect relevant regulations standards and market dynamics.

Support governance practices by adhering to data security policies respecting privacy considerations and promoting ethical use of analytics that benefits customers communities and the company mission.

Contribute to a culture of analytical excellence by sharing best practices mentoring peers on modern data techniques and championing the use of evidence based decision making in everyday work.

📋 Requirements & Qualifications

Demonstrate strong proficiency in Python for data analysis including data manipulation statistical exploration and integration with visualization and reporting tools.

Show advanced expertise in MS Excel and Excel macro VBA development to construct automated workflows complex formulas and template driven reporting solutions.

Apply solid experience in Tableau to design user friendly dashboards that transform technical metrics into intuitive visuals tailored to diverse business audiences.

Exhibit deep understanding of exploratory data analysis principles including data profiling feature exploration and visual techniques that reveal meaningful patterns and outliers.

Bring practical domain exposure in industry essentials allowing effective alignment of metrics with business realities regulatory contexts and evolving market expectations.

Operate effectively in a hybrid work model using collaborative platforms to coordinate tasks communicate findings and maintain productivity during onsite and remote work.

Recommended Technical Skills
PythonExcelVBATableauPower BIData Analysis

🎓 Preparation & Hiring Insights

Verified Insights
💰 Salary Insights (India)
Industry Range

The average salary for a Data Analyst in India is ₹6-12 lakhs per annum.

Freshers

Freshers can expect a salary range of ₹4-8 lakhs per annum.

Experienced

Experienced professionals can expect a salary range of ₹10-20 lakhs per annum.

⚡ Selection Rounds

1
Round 1: Online assessment to evaluate technical skills and knowledge.
2
Round 2: Technical interview to evaluate problem-solving skills and experience with data analysis tools.
3
Round 3: Final interview to evaluate communication skills, teamwork, and cultural fit.

💡 Top Interview Questions to Prepare

  1. What is your experience with data analysis tools?
  2. How do you handle missing data?
  3. Can you explain a complex data concept to a non-technical person?
  4. How do you stay up-to-date with industry trends and developments?
  5. Can you walk me through a project you worked on and your role in it?

Frequently Asked Questions

The salary range for this role is ₹6-12 lakhs per annum.
The technical skills required for this role include Python, Excel, VBA, Tableau, Power BI, and data analysis.
The work model for this role is hybrid, with opportunities to work remotely and onsite.

CampusToCareer Candidate Guide

⭐ Original Analysis

✓ Suitable For

  • Business graduates
  • Engineering students
  • Students interested in consulting or analytics

✗ Not Ideal If

  • Looking strictly for software development/coding roles
  • Uncomfortable with stakeholder presentations