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Data Analyst

Job Summary

This role is responsible for transforming large, complex datasets into meaningful insights, building dashboards, conducting advanced analytics, and supporting AI/ML use cases with structured and well-curated data.

Experience Level: 10+ years

JD:

Analyze large structured and unstructured datasets to identify trends, patterns, correlations, and business insights.

Build analytical models, conduct exploratory data analysis (EDA), and evaluate business KPIs.

Develop actionable insights to support strategy, product decisions, and operational improvements.

Create interactive dashboards and reports using BI tools (Looker, Tableau, Power BI, Data Studio).

Automate recurring reports and ensure accuracy, consistency, and data freshness.

Develop self-service analytic views for business stakeholders

Conduct hypothesis testing, statistical modeling, forecasting, and clustering analyses.

Support AI/ML teams with data profiling, feature validation, and dataset quality checks.

Perform cohort analysis, funnel analysis, segmentation, churn modeling, and performance deep dives.

Perform data validation, cleansing, anomaly detection, and root-cause analysis.

Document data definitions, metric logic, dashboards, and analytical workflows.

Partner with data engineering to improve data pipelines, schemas, and source integrations.

Technical Must-Haves

6–10 years of experience as a Data Analyst or Senior Analyst.

Strong SQL (advanced joins, window functions, CTEs, optimization).

Hands-on experience with BI/visualization tools: Looker, Tableau, Power BI, Data Studio.

Strong proficiency with Python or R for analysis (pandas, numpy, visualization libraries).

Experience working with data warehouses (BigQuery, Snowflake, Redshift).

Deep experience performing EDA, statistical analysis, and KPI modeling.

Experience supporting AI/ML projects or LLM evaluation datasets.

Knowledge of Google Cloud data stack (BigQuery, Cloud Storage, Pub/Sub, Dataform).

Familiarity with experimentation frameworks (A/B testing).

Experience with ETL/ELT workflows and interacting with data engineering pipelines.

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.

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