Job Description

Data Analyst:

Query, clean, and prepare datasets to support predictive model developmen Perform data profiling, outlier analysis, missing value treatment, and variable selection.

Generate statistical summaries, histograms, distributions, and correlations to support model assumptions.

Assist in feature engineering with code (Python, SQL) based pipelines.

Develop internal data validation and sanity checks to support model input/output reliability.

Expertise Required

Advanced SQL and scripting for large-scale data extraction and transformation

Strong in Python for data analysis (Pandas, matplotlib, seaborn)

Experience using Jupyter notebooks, Git, and shared model/analytics repos

Comfort working with transactional, behavioral, and log-based data

Self-directed and technical; works off specifications from data science lead or product owner

No need to present to business users or interpret commercial outcomes

Focus on clean, efficient code, reproducibility, and high data integrity.

About Virtusa

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth -- one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.



Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.



Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.