Building a career in data analytics within an enterprise data platform environment requires more than basic reporting skills. The Data Analyst (Data Platforms) role at Virtusa is designed for professionals who want to work close to core data systems, understand how large-scale data flows across platforms, and ensure that analytics outputs are accurate, reliable, and business-ready. This role offers strong long-term value for candidates aiming to grow in analytics, data engineering, or platform-focused data roles.
Company Overview and Industry Context
Virtusa is a global digital engineering and IT services organization known for delivering complex technology solutions across industries such as banking, financial services, insurance, telecom, and technology. The company has a strong presence in data platforms, cloud transformation, analytics modernization, and enterprise system integration. Virtusa’s data teams work on mission-critical systems where data accuracy, performance, and governance are essential for client success.
Working at Virtusa means exposure to structured delivery models, enterprise-grade data architectures, and real client environments that demand high standards of quality and accountability.
Role Summary – Data Analyst (Data Platforms)
The Data Analyst (Data Platforms) role focuses on supporting enterprise data platforms by analyzing datasets, validating data pipelines, and enabling analytics and reporting use cases. Unlike traditional analyst roles that focus only on dashboards, this position operates deeper within the data ecosystem, working closely with data engineering teams and platform owners.
Role Details
- Position: Data Analyst (Data Platforms)
- Location: Chennai, India
- Experience Level: Freshers / Experienced
- Education: Bachelor’s or Master’s Degree
- Employment Type: Full-time
- Functional Area: Data Analytics / Data Platforms
Purpose of the Role
The core purpose of this role is to ensure that data produced by enterprise platforms is trustworthy, consistent, and usable. Data Analysts in this position help bridge the gap between raw data sources and business insights by validating data quality, supporting data transformations, and enabling accurate downstream analytics.
This role plays a key part in:
- Maintaining confidence in enterprise data
- Reducing data-related risks and errors
- Supporting analytics, reporting, and decision-making
- Enabling scalable and reliable data platforms
Key Responsibilities and Day-to-Day Work
Professionals in this role typically handle responsibilities such as:
- Analyzing structured and semi-structured datasets generated by enterprise systems
- Validating ETL and data pipeline outputs to ensure completeness and accuracy
- Performing data quality checks and identifying discrepancies or anomalies
- Writing and optimizing SQL queries for analysis and validation
- Supporting BI and reporting teams with clean, well-modeled datasets
- Collaborating with data engineers to resolve data issues at the source
- Documenting data definitions, transformations, and business rules
- Supporting platform upgrades or migrations through data reconciliation and testing
This work requires attention to detail and a strong understanding of how data moves across systems.
Technical Skills and Tooling Expectations
To succeed in this role, candidates are expected to demonstrate strength in the following areas:
- Advanced SQL skills for querying, validation, and analysis
- Understanding of data warehouses and dimensional models
- Knowledge of ETL processes and data pipeline concepts
- Experience with BI and visualization tools such as Power BI or Tableau
- Familiarity with data quality frameworks and validation techniques
- Basic scripting or automation skills (Python is an advantage)
- Awareness of cloud or big data platforms is beneficial
Hands-on project experience, internships, or enterprise exposure significantly strengthen suitability for this role.
Professional Competencies and Work Style
Beyond technical knowledge, Virtusa looks for professionals who demonstrate:
- Strong analytical and logical thinking
- High attention to detail and data accuracy
- Ability to communicate findings clearly to technical and non-technical stakeholders
- Structured documentation and reporting skills
- Collaboration across cross-functional teams
- Ability to manage priorities in delivery-driven environments
This role suits individuals who enjoy working behind the scenes to ensure data reliability rather than only presenting visual outputs.
Eligibility and Candidate Profile
This role is suitable for:
- Fresh graduates with strong foundations in SQL, databases, or analytics
- Early-career professionals with exposure to data analysis or data operations
- Candidates with academic or project experience in data platforms or BI
- Individuals aiming to build long-term careers in data analytics or engineering
Prior enterprise experience is helpful but not mandatory for freshers with strong fundamentals.
Work Environment and Learning Exposure
Virtusa provides a structured and professional work environment where analysts work alongside experienced data engineers, architects, and client stakeholders. New joiners receive onboarding support, exposure to enterprise-grade tools, and opportunities to work on live client platforms. Learning is continuous, supported by internal training programs, certifications, and project-based skill development.
The Chennai delivery center offers access to global projects and mature data ecosystems.
Career Progression and Long-Term Growth
Starting in this role opens pathways to advanced positions such as:
- Senior Data Analyst
- Business Intelligence Developer
- Data Engineer
- Analytics Consultant
- Data Platform Specialist
- Technical or Solution Analyst
Data platform experience is highly transferable and increasingly valuable across industries.
Why This Role Offers Strong Career Value
This position stands out because it provides:
- Deep exposure to enterprise data platforms
- Strong grounding in SQL, data pipelines, and validation
- Experience with real client data and production systems
- Clear progression into advanced data and analytics roles
- High long-term relevance in data-driven organizations
For candidates serious about building durable analytics careers, this role offers both depth and growth.
