1. About the Role
Cognizant is looking for an experienced Data Analyst to transform complex datasets into actionable business insights. The role focuses on Python, Excel, VBA, Tableau, Power BI, and Exploratory Data Analysis (EDA) to support reporting, decision-making, and business improvement.
2. Key Job Details
| Job Title | Data Analyst |
|---|---|
| Company | Cognizant |
| Date Published | July 30, 2026 |
| Job Type | Full-Time |
| Job Category | Technology & Engineering |
| Work Model | Hybrid |
| Location | Bangalore, India |
| Specialization | Data Analytics |
3. Complete Job Summary
Cognizant is seeking a skilled Data Analyst to analyze complex business datasets and generate meaningful insights. The selected candidate will use Python, Excel, VBA, Tableau, Power BI, and exploratory data analysis to identify trends, patterns, and opportunities.
The role involves developing analytical models, creating dashboards and reports, automating workflows, maintaining data quality, and collaborating with cross-functional teams to support strategic business decisions.
4. Job Responsibilities
Data Analysis
- Analyze business data to identify trends and patterns.
- Perform exploratory data analysis.
- Develop analytical models using Python.
- Identify anomalies and business opportunities.
Reporting & Visualization
- Create interactive Tableau dashboards.
- Develop Power BI reports and visualizations.
- Build advanced Excel reports and workbooks.
- Present actionable insights to stakeholders.
Automation
- Develop Excel VBA macros.
- Automate repetitive reporting tasks.
- Improve data workflows and reduce manual processing.
- Identify opportunities for process automation.
Data Quality
- Perform data validation and quality checks.
- Reconcile data discrepancies.
- Ensure accurate and consistent reporting.
Collaboration
- Work with cross-functional teams.
- Understand business requirements.
- Convert business questions into analytical solutions.
- Support data-driven decision-making.
Documentation & Governance
- Document analytical methods and business rules.
- Follow data security and privacy policies.
- Promote responsible and ethical use of data.
5. Eligibility Requirements
Technical Skills
- Python for Data Analysis
- Advanced MS Excel
- Excel VBA & Macros
- Tableau
- Power BI
- Exploratory Data Analysis
- Data Visualization
- Data Manipulation
- Statistical Analysis
- Data Reporting
Additional Skills
- Strong analytical and problem-solving abilities.
- Good communication skills.
- Understanding of business processes.
- Data quality and validation knowledge.
- Ability to work in a hybrid environment.
- Knowledge of industry standards and regulations.
6. Salary and Benefits
Salary
Salary: Competitive compensation based on experience, skills, location, and company policies.
Employee Benefits
- Competitive salary package
- Health and wellness benefits
- Paid leave and holidays
- Learning and certification programs
- Career development opportunities
- Professional training
- Employee wellness programs
- Opportunities to work on global projects
7. Work Environment
The role follows a hybrid work model, combining office-based and remote work. The Data Analyst will collaborate with business teams, analysts, and other stakeholders to deliver data-driven solutions.
Work Culture
- Hybrid working environment
- Cross-functional teamwork
- Data-driven decision-making
- Continuous learning
- Modern analytics tools
- Global business exposure
- Professional development opportunities
- Collaborative workplace
8. Selection Process
The hiring process may include the following stages:
Step 1: Online Application
Candidates submit their application and resume through the recruitment platform.
Step 2: Resume Screening
The recruitment team reviews qualifications, experience, and technical skills.
Step 3: Technical Interview
The interview may cover:
- Python
- Excel & VBA
- Tableau
- Power BI
- Exploratory Data Analysis
- Data Visualization
- SQL/Data Analysis concepts
- Problem-solving
Step 4: Managerial/Project Interview
Focus areas may include:
- Previous projects
- Analytical thinking
- Business problem-solving
- Communication skills
- Teamwork
- Stakeholder management
Step 5: HR Interview
Topics may include:
- Professional background
- Career goals
- Salary expectations
- Work location
- Availability to join
Step 6: Offer & Onboarding
Selected candidates complete the required documentation and verification process before joining.
Additional Employment Information
- Compensation information may change according to company policies and applicable laws.
- Interviews may be conducted in person or through video conference.
- Candidates may be required to present a current government-issued ID during interviews.
- Cognizant is an equal opportunity employer.
