Company Profile:
Lennox (NYSE: LII) Driven by 130 years of legacy, HVAC and refrigeration success, Lennox provides our residential and commercial customers with industry-leading climate-control solutions. At Lennox, we win as a team, aiming for excellence and delivering innovative, sustainable products and services. Our culture guides us and creates a workplace where all employees feel heard and welcomed. Lennox is a global community that values each team member’s contributions and offers a supportive environment for career development. Come, stay, and grow with us.
Job Description:
Role Objective
The Data Analytics Specialist will support the Corporate Audit function by developing and executing data analytics solutions to enable risk-based audits, SOX compliance, fraud detection, continuous auditing, and ERM initiatives. The role will focus on leveraging analytics-related tools (e.g., IDEA, Alteryx, Azure) and SAP data to deliver actionable insights and scalable audit analytics.
Key Responsibilities
Audit Data Analytics & Automation
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Design, develop, and maintain models and/or workflows for audit analytics, fraud detection, SOX testing, and continuous auditing.
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Document the processes and procedures for models or workflows developed.
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Build, document, and maintain an inventory of audit analytics and use cases across business processes (e.g., P2P, O2C, Inventory, GL, etc.).
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Automate repetitive audit testing procedures to improve audit coverage and efficiency (e.g., test populations versus samples).
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Perform risk-based data analysis, including exception testing, trend analysis, and anomaly detection.
Risk Monitoring, Fraud & ERM Support
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Support fraud desk initiatives through advanced analytics and red flag identification using structured SAP data.
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Enable risk response monitoring aligned with ERM and Internal Audit priorities.
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Develop analytics to support management’s proactive risk identification and control effectiveness assessment.
Technology & Data Enablement
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Work directly with SAP source data (e.g., FI, MM, SD, Inventory modules) and ensure accurate data extraction and transformation.
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Leverage Azure or similar data platforms for large-scale risk analysis and enterprise analytics.
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Address data sourcing limitations and improve data reliability for audit consumption.
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Act as a subject-matter expert for analytics tools (e.g., IDEA and Alteryx), including workflow optimization and complexity review.
Stakeholder Collaboration
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Partner with Internal Audit, Compliance, IT, Finance, and Supply Chain teams to understand risk areas and data availability.
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Provide clear visibility on analytics deliverables, scope, and outcomes to audit leadership.
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Support follow-up discussions with stakeholders on analytics-driven observations.
Governance & Capability Building
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Define standards and governance for audit analytics development and documentation.
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Review and validate complex models and workflows developed by the team to ensure quality and sustainability.
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Support training and mentoring of auditors on the use and interpretation of analytics.
Qualifications:
Required Qualifications
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Bachelor’s degree in data Analytics, Information Systems, Finance, Engineering, or related field.
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4–7 years of experience in Data Analytics, Business Intelligence, Internal Audit, or Risk Analytics.
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Deep, hands-on experience with modeling and advanced workflow design and review capability.
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Strong working knowledge of SAP data structures and audit-relevant datasets.
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Experience supporting Internal Audit, SOX, fraud analytics, or risk monitoring initiatives.
Preferred Skills & Experience
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Business Intelligence background with strong analytics mindset.
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Experience with enterprise data lake environments.
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Knowledge of audit methodologies, internal controls, and compliance frameworks.
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Ability to translate audit objectives into scalable analytics solutions.
Key Success Factors
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Strong ownership of end-to-end analytics delivery.
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Ability to work independently in a developing audit analytics environment.
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Practical problem-solving approach to data availability and quality issues.
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Clear communication with audit leadership and business stakeholders.
