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.
Lead Data Analyst - Banking
Job description
\As a data analyst your main role is understanding business requirements and provide data mapping
and analysis that forms the blueprint of data flow from raw source systems to a customized data
mart, dashboards or any other API required for data consumption. You will play a crucial role in the
data management process, ensuring that data is collected, transformed, and made accessible for
analytical purposes. Your expertise in data technologies will enable the organization to make
informed decisions and derive valuable insights from large datasets.
Understanding the project requirements, by conducting Business Discovery Sessions
Work with internal teams like system support teams, DBA and MIS teams to translate the existing requirements into
the desired mart and reports
Prepare data mapping documents, needed for development of various layers of the data platform (raw – bronze,
EDM – silver, project specific – gold)
Support during various phases of the projects as needed by the data engineers, data modelers, QA testers and Power
BI developers
Collaborating with other developers, data analysts, and stakeholders to ensure that the software meets the needs of
the business or organization
Technical Skills:
o Strong data querying and processing skills using SQL, SAS, Oracle, Apache Spark or similar language
o Data Visualization tools – Power BI, Business Objects, Crystal or similar tool
o Data Warehousing and ETL concepts
Competencies:
o Expert-level proficiency in SQL, Python with SAS/R/Spark as plus
o Deep understanding of distributed data processing frameworks, particularly Apache Spark.
o Experience with cloud platforms (Azure, AWS) — including Object storage, compute, networking, and data
integration services.
o Familiarity with data modeling techniques, including schema design, partitioning, and performance tuning.
o Experience working with structured and semi-structured data formats (e.g., JSON, Parquet, Avro, XML).
o Knowledge of data governance, quality assurance, and compliance best practices.
o Solid grasp of core computer science fundamentals (e.g., data structures, search algorithms, queues)
relevant to performance-critical data engineering
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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