What are the responsibilities and job description for the Senior Business & Data Analyst position at Virtusa?
We are seeking a versatile Senior Business & Data Analyst to bridge the gap between complex data engineering and strategic business decision-making. The ideal candidate will possess the technical rigor to build automated data pipelines and be responsible for end-to-end data governance, performance optimization, and providing executive-level insights through advanced visualization.We are seeking a versatile professional to serve as a bridge between complex data engineering and strategic business decision-making. The ideal candidate will combine strong analytical rigor with acute business acumen, leveraging experience in both Data and Business analysis. This role is crucial for driving Data Modernization efforts, ensuring strong governance, and translating technical insights into clear, actionable strategies for our customer and multiple stakeholders. Business & Stakeholder Engagement Act as a key consultant for multiple stakeholders and business leaders, gathering, defining, and prioritizing clear feature requirements. Serve as the primary liaison, providing excellent verbal and written communication with customers and technical teams.
Data Analysis & Pipeline Development Apply advanced proficiency in Python and SQL to perform in-depth data analysis, build, and optimize scalable data pipelines to support Data Modernization initiatives.
Data Governance & Quality Lead initiatives to establish and maintain data quality, ensuring high standards of data governance and compliance for reliable business forecasting.
Reporting and Presentation Be responsible for the creation of presentation and compelling narratives that translate complex data analysis results into high-impact, executive-level business insights.
Required Skills And Experience
Core Experience Proven experience in a role that effectively combines Data Analysis and Business Analysis, successfully translating business requirements into technical solutions.
Technical Stack Advanced proficiency in SQL and Python for data processing, scripting, and analysis.
Data & Cloud Concepts Strong understanding of data warehousing, ETL, and Data Modernization concepts. Experience with cloud platforms is preferred.
Data Analysis & Pipeline Development Apply advanced proficiency in Python and SQL to perform in-depth data analysis, build, and optimize scalable data pipelines to support Data Modernization initiatives.
Data Governance & Quality Lead initiatives to establish and maintain data quality, ensuring high standards of data governance and compliance for reliable business forecasting.
Reporting and Presentation Be responsible for the creation of presentation and compelling narratives that translate complex data analysis results into high-impact, executive-level business insights.
Required Skills And Experience
Core Experience Proven experience in a role that effectively combines Data Analysis and Business Analysis, successfully translating business requirements into technical solutions.
Technical Stack Advanced proficiency in SQL and Python for data processing, scripting, and analysis.
Data & Cloud Concepts Strong understanding of data warehousing, ETL, and Data Modernization concepts. Experience with cloud platforms is preferred.