Usage of Conventional AI
Virtusa utilizes Artificial Intelligence (AI) technology for the purpose of conducting candidate pre-employment assessments. This AI may include both text-based and voice-based functionalities. The AI technology will have access to the data that you upload or provide during your interaction with the AI bot and will use such data solely for the purpose of performing assessment in accordance with Virtusa policies and practices. The AI is not used to substantially assist or replace discretionary employment decisions. Read our full employee privacy policy here.
Job description
Key ResponsibilitiesThe following are the key responsibilities of the
position. It is expected that most, if not all of these, are met by the
candidate:
Develop, maintain, and optimize SQL-based datasets across Oracle and SQL
Server environments
Work with large and complex datasets from multiple operational systems
(ServiceNow, device telemetry, transaction data, ODS/EDW).
Develop and maintain reports, dashboards, and data models in Power BI,
including DAX, scheduled refresh, and governance-aligned practices.
Support and enhance CTS’s KPI Engine and performance measurement
frameworks, ensuring compliance with contractual KPIs and SLAs across
global programs.
Apply data science and ML concepts
Required Skills and QualificationsBachelor’s/master’s degree in Comp
Science, Data Analytics, Engineering, Mathematics, or related field.
5+ years of experience in data analysis, analytics engineering, or data
science roles.
Expert-level SQL skills in both Oracle and SQL Server (complex joins,
window functions, CTEs, performance tuning).
Strong experience with Python
Proven ability to work with very large datasets, multi-source systems, and
complex business logic.
Deep understanding of data transformation, modelling, pipelines, and
ETL/ELT processes.
Experience working with KPI/SLA-driven environments, producing measurement
logic and detailed performance analysis.
Working knowledge of Power BI (modeling, DAX, optimisation, power query
etc.)
Ability to translate ambiguous or complex requirements into structured
analytical solutions.
Preferred SkillsHands-on experience with Azure (ADF, SQL, Databricks, Data
Lake) or other cloud data platforms.
Experience working in a transportation, operations, SaaS, or managed
services environment.
Exposure to predictive maintenance, device health analytics, or operational
reliability analytics.
Familiarity with version control (Git), DevOps, CI/CD data workflows.
Experience with data visualization best practices and storytelling
techniques.
Knowledge of ServiceNow data models (incidents, requests, tasks, changes)
is an advantage.
Soft SkillsStrong analytical mindset with exceptional problem-solving
abilities.
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 30,000 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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