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Job description
Analyze, interpret, and model largescale structured and unstructured datasets to generate meaningful insights and business recommendations
Write, optimize, and tune complex SQL queries to extract, transform, and manipulate large datasets efficiently
Develop and automate data sourcing, cleansing, transformation, and analytic pipelines using programming and analytics tools
Build dashboards, reports, and visualizations using analytics platforms (e.g., Tableau, Alteryx) to communicate insights effectively
Deliver analytics solutions and data-driven outputs within strict timelines, ensuring high quality and accuracy
Collaborate with business stakeholders to translate analytical findings into actionable strategies
Document data processes, methodologies, and models to support transparency and reusability
Support continuous improvement of data workflows, analytics tools, and best practices.
Qualification
Seeking an experienced Data Scientist with a strong background in data analytics, coding, and complex SQL development. The ideal candidate will have hands-on experience working with large and diverse datasets, building analytics solutions, and delivering insights under tight timelines. This role requires strong technical foundations, data wrangling expertise, and the ability to work with both structured and unstructured data. You will collaborate with crossfunctional teams to design, develop, and automate data-driven solutions that support critical business decisions.
Analyze, interpret, and model largescale structured and unstructured datasets to generate meaningful insights and business recommendations
Write, optimize, and tune complex SQL queries to extract, transform, and manipulate large datasets efficiently
Develop and automate data sourcing, cleansing, transformation, and analytic pipelines using programming and analytics tools
Build dashboards, reports, and visualizations using analytics platforms (e.g., Tableau, Alteryx) to communicate insights effectively
Deliver analytics solutions and data-driven outputs within strict timelines, ensuring high quality and accuracy
Collaborate with business stakeholders to translate analytical findings into actionable strategies
Document data processes, methodologies, and models to support transparency and reusability
Support continuous improvement of data workflows, analytics tools, and best practices.
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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