Sr Data Analytics Supervisor

Key Responsibilities

Qualifications

• YOU MUST HAVE
• 5+ years of experience in data analytics
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights
• Proficiency in data analytics tools and programming languages (e.g., Python, R, SQL, etc.)
• Experience with data visualization tools (e.g., Tableau, Power BI, etc.)
• WE VALUE
• Bachelor's degree in a relevant field (e.g., Data Science, Analytics, Engineering, etc.)
• Strong leadership skills and the ability to effectively influence and coach others
• Proven track record of driving data-driven decision-making and delivering measurable business results
• Experience in supply chain analytics or related field
• Knowledge of advanced analytics techniques (e.g., machine learning, predictive modeling, etc.)
• Experience with data governance and data quality initiatives
• YOU MUST HAVE - 5+ years of experience in data analytics - Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights - Proficiency in data analytics tools and programming languages (e.g., Python, R, SQL, etc.) - Experience with data visualization tools (e.g., Tableau, Power BI, etc.) WE VALUE - Bachelor's degree in a relevant field (e.g., Data Science, Analytics, Engineering, etc.) - Strong leadership skills and the ability to effectively influence and coach others - Proven track record of driving data-driven decision-making and delivering measurable business results - Experience in supply chain analytics or related field - Knowledge of advanced analytics techniques (e.g., machine learning, predictive modeling, etc.) - Experience with data governance and data quality initiatives

Responsibilities

• Key Responsibilities - Develop and implement channel sales analytics strategies, frameworks, and governance processes to support business growth and operational excellence. - Lead channel partner tiering and segmentation initiatives, leveraging data to identify growth opportunities, optimize partner investments, and improve channel performance. - Drive inventory analytics and management programs to improve inventory health, minimize excess and obsolete inventory, and support demand planning and forecasting efforts. - Develop channel intelligence capabilities by integrating sales, market, customer, and competitive data to generate actionable business insights. - Lead the adoption of Artificial Intelligence (AI) and advanced analytics solutions to improve forecasting accuracy, partner recommendations, anomaly detection, and decision-making effectiveness. - Collaborate with Sales, Channel Management, Supply Chain, Finance, and IT teams to identify business requirements and translate them into scalable analytical solutions. - Design and maintain executive dashboards, KPI scorecards, and reporting frameworks that provide visibility into channel performance, inventory trends, and market opportunities. - Ensure data quality, accuracy, governance, and consistency across channel sales and inventory data sources. - Drive continuous improvement initiatives by identifying trends, risks, and opportunities through advanced analytics and predictive modeling. - Stay current with industry trends, best practices, AI technologies, and emerging analytics capabilities to enhance Honeywell's channel analytics strategy.