Sr Data Analytics Supervisor
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Key skills for this role
Key Skills for This Role
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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.
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
About Honeywell
Global provider of industrial technology and advanced manufacturing solutions.
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