Collect, clean, and analyze large datasets to identify trends, patterns, and business insights.
Develop and maintain SQL queries, dashboards, and reports to support decision-making.
Collaborate with cross-functional teams to define key performance indicators (KPIs) and business metrics.
Perform data validation, profiling, and quality assurance to ensure data integrity and accuracy.
Support data-driven strategies by conducting statistical analysis, predictive modeling, and forecasting.
Assist in ETL processes and work with databases to optimize performance and storage efficiency.
Document data processes, methodologies, and best practices to ensure consistency across projects.
Stay updated with emerging data technologies, trends, and best practices to enhance analytics capabilities.
Bachelors degree in Computer Science, Statistics, Data Science, or a related field.
2+ years of experience in data analysis, business intelligence, or a related field.
Proficiency in SQL, Python, R, or other programming languages for data analysis.
Experience with data visualization tools (Tableau, Power BI, or similar).
Strong understanding of relational databases Oracle.
Knowledge of ETL processes, data warehousing, and data governance.
Excellent problem-solving, analytical thinking, and communication skills.
Ability to translate complex data into actionable insights for stakeholders
Collect, clean, and analyze large datasets to identify trends, patterns, and business insights.
Develop and maintain SQL queries, dashboards, and reports to support decision-making.
Collaborate with cross-functional teams to define key performance indicators (KPIs) and business metrics.
Perform data validation, profiling, and quality assurance to ensure data integrity and accuracy.
Support data-driven strategies by conducting statistical analysis, predictive modeling, and forecasting.
Assist in ETL processes and work with databases to optimize performance and storage efficiency.
Document data processes, methodologies, and best practices to ensure consistency across projects.
Stay updated with emerging data technologies, trends, and best practices to enhance analytics capabilities.
Bachelors degree in Computer Science, Statistics, Data Science, or a related field.
2+ years of experience in data analysis, business intelligence, or a related field.
Proficiency in SQL, Python, R, or other programming languages for data analysis.
Experience with data visualization tools (Tableau, Power BI, or similar).
Strong understanding of relational databases Oracle.
Knowledge of ETL processes, data warehousing, and data governance.
Excellent problem-solving, analytical thinking, and communication skills.
Ability to translate complex data into actionable insights for stakeholders
Key job details
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 is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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