Cyber Sec Archt/Engr II

As a Global Security Data Analyst at Honeywell, you will play a crucial role in partnering with leadership, stakeholders, and employees to communicate through critical dashboards where to allocate resources to secure Honeywell. Your primary responsibility will involve working across various security teams to mitigate risks using data analysis. Leveraging your expertise in data acumen and user interface design, you will lead the development and maintenance of Honeywell Global Security dashboards. Through your ability to influence with and without authority, you will contribute to achieving our common goal of safeguarding the company. Your duties will encompass data analysis, mapping, integration, quality assurance, and dashboard development. You will be the key support for our critical dashboards, providing a unique opportunity to collaborate with multiple security teams to gain a comprehensive view of risks at Honeywell. Your role will involve driving a data strategy to ensure accuracy, efficiency, timeliness, and consistency in our data feeds. Key Responsibilities: - Utilize analytical and technical skills to translate business requirements into specifications for designing and implementing Honeywell Global Security dashboards. - Collaborate with data and service owners to determine data needs, and create, maintain, and optimize data pipelines for structured and unstructured data, facilitating its movement to a centralized enterprise data warehouse. - Work with security service owners to automate dashboards using APIs and streamline manual data processes where feasible. - Develop data models and schemas to support analytical and reporting requirements. - Operate independently with minimal supervision, following high-level directives from leadership. - Document standard processes and troubleshooting procedures. - Provide end-user support to minimize disruptions and promote system utilization. - Monitor data extraction, transformation, and loading processes. Requirements: - Bachelor's degree in computer science or a related field, or equivalent experience of at least 3 years. - Minimum of 3 years of proven data management experience, including merging, cleaning, and analyzing large datasets, as well as developing complex dashboards. Proficiency in handling both structured and unstructured data. - Advanced knowledge of Microsoft Excel.,