Analytics and Reporting Lead

Carrier is the leading global provider of healthy, safe and sustainable building and cold chain solutions with a world-class, diverse workforce with business segments covering HVAC, refrigeration, and fire and security. We make modern life possible by delivering safer, smarter and more sustainable services that make a difference to people and our planet while revolutionizing industry trends. This is why we come to work every day. Join us and we can make a difference together.

About this role

The SIOP Analytics and Reporting Lead is a pivotal role within Carrier Corporation, responsible for providing strategic leadership in data analytics and reporting for the Sales, Inventory, and Operations Planning (SIOP) organization. This is a global position with a focus on understanding and prioritizing key analytics solutions across several independent business units from a Demand and Supply planning perspective. The role plays a central role in enhancing data-driven decision-making, optimizing operational efficiency, and driving global consistency in SIOP processes.

Key Responsibilities

• Develop and implement a comprehensive global SIOP data analytics and reporting strategy aligned with Carrier Corporation's overarching business objectives.
• Ensure that the strategy addresses the unique needs and nuances of each independent business unit while maintaining a global perspective.
• Collaborate with the Digital organization to setup the data warehouse (in Snowflake)
• Lead and manage a global team of data analysts, data scientists, and reporting specialists.
• Define roles, responsibilities, and performance expectations for team members spread across different geographical locations.
• Oversee the development and implementation of advanced data analytics and predictive modeling techniques that enhance Demand and Supply planning on a global scale.
• Promote the use of machine learning and data science methodologies to improve forecasting accuracy and supply chain optimization.
• Manage the development and maintenance of global reporting systems, dashboards, and data visualization tools.
• Ensure that all independent business units have access to real-time insights and actionable reporting solutions.
• Collaborate closely with independent business units to align analytics and reporting initiatives with their unique requirements.
• Strive to achieve global consistency in SIOP processes while respecting regional and business-specific variations.
• Establish and enforce global data governance policies and practices to ensure data accuracy, security, and compliance.
• Maintain high-quality data for analysis and reporting across all regions.
• Define and monitor key performance indicators (KPIs) for SIOP effectiveness on a global scale.
• Continuously track, report, and compare KPIs to drive global performance improvements.
• Lead global data science and reporting projects, overseeing scoping, resource allocation, and project timelines.
• Prioritize projects that have the most significant impact on Demand and Supply planning.
• Effectively communicate complex technical concepts and findings to non-technical stakeholders on a global scale.
• Translate data-driven insights into actionable recommendations for decision-makers within diverse business units.

Basic Qualifications

• Bachelor's degree
• 5+ years of experience in data analytics and reporting with a track record of global leadership.
• 3+ years of experience with data warehousing, data cataloguing.
• 2+ years of leadership experience

Preferred Qualifications

• Master's degree in a related field is preferred.
• Experience with data visualization tools (e.g., Tableau, Power BI) and advanced analytics techniques.
• Strong project management and global team leadership skills.
• Excellent communication and stakeholder engagement abilities.
• Strong business acumen specific to Inventory, Revenue, Units, and Margin

• Experience with advanced data analytics tools such as Python, R, or SAS for data analysis, modeling, and statistical analysis.
• Familiarity with machine learning algorithms, including supervised and unsupervised learning. Experience in model development, training, and deployment for predictive analytics.
• Knowledge or experience working with Enterprise Resource Planning (ERP) systems, such as SAP, Oracle, or Microsoft Dynamics, to understand and integrate data from these systems into analytics and reporting solutions.
• Familiarity with supply chain and operations concepts, processes, and challenges, as well as experience in applying data analytics to address supply chain optimization.
• Relevant certifications in data science, data analytics or Microsoft Power BI certifications.
• Experience working in a global or multi-regional context, demonstrating an understanding of the complexities and challenges associated with global operations and supply chain management.
• Proven experience in change management, influencing organizational culture, and facilitating the adoption of data-driven decision-making practices.
• Knowledge and experience in data governance, data privacy regulations, and data security standards to ensure compliance with regulatory requirements.
• Previous leadership or managerial experience, particularly in leading cross-functional teams and global initiatives.
• A master's degree in a relevant field, such as Data Science, Business Analytics, or Business Administration (MBA), can be a preferred qualification.
• Domain-specific knowledge relevant to Carrier Corporation's industry, such as HVAC, refrigeration, or building automation systems, can be valuable.

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