BigID Analyst

Infosys•Phoenix, IN

2d•Onsite

About The Position

The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.

Requirements

A collaborative spirit and excellent communication skills.
Strong analytical and coordination skills with a focus on process optimization
A knack for creating detailed process maps and technical documentation with domain specialization
Proactive approach to in conducting benchmarking studies and product research
Familiarity with system implementation, configuration, and maintenance
Effective collaboration and communication abilities with cross-functional teams
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

Nice To Haves

Experience with OneTrust, Collibra, Ataccama, Databricks Unity Catalog, or similar data governance and privacy platforms
Familiarity with Azure, AWS, and Google Cloud Platform (GCP) environments
Experience developing dashboards and executive reporting using Power BI or similar reporting tools
Experience supporting enterprise privacy, governance, risk, compliance, or information management programs
Knowledge of metadata management, data quality, data cataloging, and governance operating models
Experience working in Agile, Scrum, or enterprise-scale delivery environments
Strong analytical, presentation, documentation, and stakeholder engagement skills

Responsibilities

Analyze client business processes to identify optimization opportunities and align them with industry-specific standards and best practices
Facilitate benchmarking studies, working with stakeholders to align solution performance with industry standards and domain-specific insights
Collaborate with technical teams and document system customizations and configurations, drafting standard operating procedures and workflows that align with functional requirements of the relevant sector
Conduct in-depth research on third-party products within the domain, providing comparative analysis of features, costs, and scalability
Coordinate the implementation of solutions addressing issues during setup and integration, and support in developing and maintaining SOPs, to ensure system stability and performance post-implementation
Lead the configuration, administration, optimization, and governance of the BigID Data Intelligence Platform
Define onboarding strategies for enterprise applications, databases, cloud platforms, repositories, and unstructured data sources
Lead enterprise-wide data discovery and classification initiatives across structured and unstructured data environments
Configure and maintain classifiers, tags, policies, scan configurations, and discovery workflows within BigID
Validate and govern the identification of sensitive data including PII, SPI, PHI, PCI, and other regulated information
Develop and maintain enterprise data inventory, volumetric analysis, risk management, compliance, and governance reports
Support data retention, disposition, remediation, and regulatory compliance initiatives
Collaborate with privacy, data governance, security, infrastructure, DBA, and business teams to ensure successful program execution
Monitor scan execution, troubleshoot platform issues, and optimize discovery and classification performance