Sr Analyst, Information Security (Dashboards & Data Visualization)

About Lowe's

Lowe's is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe's operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe's supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.

Lowe's India, the Global Capability Center of Lowe's Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe's India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India

Job Summary

The Sr. Analyst, Information Security leads the development, automation, and scaling of security metrics, reporting, and operational processes to enhance risk visibility and enable data-driven decision-making. This role operates with a high degree of autonomy, driving process maturity, improving efficiency, and supporting the organization's transition to a predictive, analytics-driven security model.

This individual partners across Security, Technology, and Finance to deliver measurable outcomes, modernize reporting capabilities, and embed scalable workflows and dashboards into core operations. The role also provides mentorship to junior team members and serves as a key contributor to complex, cross-functional initiatives.

Roles & Responsibilities

Core Responsibilities

• Analyze and interpret complex datasets to identify trends, assess control effectiveness, and generate actionable insights
• Define, track, and evolve security metrics, KPIs, and OKRs to measure performance and risk reduction
• Develop and deliver dashboards, scorecards, and executive-level reporting
• Drive automation of reporting, data integration, and operational workflows
• Translate business needs into technical requirements and scalable solutions
• Serve as an escalation point and mentor to junior analysts
• Partner across teams to align security initiatives with measurable business outcomes
• Maintain awareness of emerging security trends and technologies
• Consolidate findings and communicate insights to leadership and stakeholders

Metrics & Reporting Ownership

• Own end-to-end lifecycle of security metrics, including definition, onboarding, validation, and ongoing maintenance
• Develop standardized scorecards and reporting frameworks aligned to risk-based prioritization
• Establish consistent measurement practices, including post-implementation (measure-after) tracking
• Increase reporting cadence and maturity (e.g., transition to more frequent, automated reporting)

Dashboards & Data Visualization

• Design and build dashboards that provide near real-time visibility into security risk and performance
• Enable self-service reporting for stakeholders through intuitive and scalable visualization solutions
• Support executive-level reporting, including monthly and ad hoc deliverables

Automation & Workflow Enablement

• Identify and eliminate manual processes through workflow automation (e.g., KNIME or similar tools)
• Build reusable workflows and shared services for reporting and operational processes
• Support intake, remediation tracking, and reporting automation across security functions

Tech Risk Scorecard (TRS) Enablement

• Support the evolution and operationalization of the Tech Risk Scorecard
• Onboard and maintain metrics (e.g., MFA, AI, Operational Resilience, SSO/Provisioning)
• Improve linkage between metrics, reporting, and remediation pathways
• Enable increased publishing cadence and improved data quality

Data Integration & Analytics Support

• Partner with data science resources to enable predictive modeling, forecasting, and ROI analysis
• Ensure data quality, consistency, and integration across multiple security data sources
• Support foundational capabilities for AI/ML-driven insights and reporting

Years of Experience

•5 to 8 Years of experience building and scaling metrics, dashboards, and reporting frameworks in a security, risk, or technology environment

•Experience in a large, complex omni-channel or e-commerce organization is strongly preferred.

Education Qualification & Certifications

•Bachelor's degree in computer science, computer information systems, engineering, business administration, cybersecurity, or related field

Preferred Qualifications

• Experience building and scaling metrics, dashboards, and reporting frameworks in a security, risk, or technology environment
• Strong proficiency in data visualization tools (e.g., Power BI, Tableau) and ability to translate complex data into executive-level insights
• Experience with workflow automation and data processing tools (e.g., KNIME, Alteryx, Python, or similar)
• Familiarity with data modeling, data integration, and data quality management across multiple systems
• Working knowledge of information security domains (e.g., IAM, vulnerability management, GRC) with the ability to translate domain data into enterprise-level metrics
• Experience supporting or developing risk scorecards, KPIs, or performance measurement frameworks
• Exposure to predictive analytics, AI/ML, or forecasting models and ability to partner with data science teams
• Experience developing executive-level reporting
• Ability to connect technical metrics to business outcomes, including risk reduction and financial impact
• Experience working in cross-functional environments, partnering with security, engineering, and business stakeholders
• Familiarity with regulatory and compliance frameworks (e.g., SOX, PCI, NIST) from a reporting or metrics perspective