ISC Analytics Specialist I
As an ISC Analytics Specialist I here at Honeywell, you will play a crucial role in driving data-driven insights and analytics to optimize operational efficiency and improve decision-making within the Integrated Supply Chain (ISC) organization. You will collaborate with cross-functional teams to address business challenges and develop analytical solutions. With your strong data analytics skills and expertise, you will develop and implement data analytics strategies to drive continuous improvement. Your ability to translate complex data into actionable insights will be key in ensuring data integrity and accuracy. In this role, your work will improve decision making in the business, optimize processes, increase cost savings, and improve customer satisfaction.
In this role, you will impact decision making in the business, optimize processes, increase cost savings, and improve customer satisfaction.
Key Responsibilities- Assist in executing a comprehensive data strategy for the Integrated Supply Chain organization, including data collection, storage, and maintenance
- Utilize statistical and data analysis techniques to extract meaningful insights from supply chain data
- Collaborate with various teams to align supply chain analytics with overall business goals and strategies
- Support the implementation of advanced analytics tools and technologies for data visualization and monitoring of supply chain KPIs
- Contribute to the analysis and optimization of supply chain processes, identifying areas for automation and efficiency gains
- Assist in identifying and mitigating supply chain risks through data analysis
- 0+ 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.)
- 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