Lead Data Analyst developing advanced analytics models for operational improvement at Honeywell. Collaborating cross-functionally and providing data visualizations to support strategic decisions.
Responsibilities
Develop operational and functional metric data and coordinates with other functions to insure consistency and data integrity.
Enable management operating system (MOS) and works with Director-level staff to gather, consolidate, and summarize information at the Aerospace or Function level, including key metrics, monthly highlights, and quarterly ops review material.
Review analytics outputs to ensure accuracy before releasing to internal and external customers.
Provide data visualizations including creating, updating, and supporting databases and reports with key metrics to guide strategic decisions.
Work directly with global Aerospace functions and sites to design new Aerospace standard analytic processes that enable operational improvement.
Work collaboratively with members of ISC and Aerospace functions, sites, and leadership to build relationships and better understand areas that inhibit their productivity and effectiveness and develop solutions to address those issues.
Lead projects to develop or improve Aerospace standards for the collection, measurement and reporting of performance data – including Supplier OTTR, Past Due, Receipts, Customer Escapes/PPM, Customer Delivery, other Procurement and Planning measures.
Develop and enable delivery mechanisms for comprehensive, actionable analytics that identify quality / ISC performance trends and highlight areas for improvement in Aerospace product and process quality.
Ensure globalized resource activities meet cost requirements while maintaining a high level of quality in work products.
Lead the development and implementation of advanced analytics models and algorithms.
Collaborate with cross-functional teams to understand business needs and formulate data-driven solutions.
Requirements
Qualified candidates will possess a Bachelor’s degree or foreign equivalent in Information Technology, Computer Science, Data Engineering, Analytics, or a related field and 7 years of experience with data analytics, reporting and dashboard development
In the alternative, employer would accept a Master’s degree in the above-listed fields and 5 years of experience with data analytics, reporting and dashboard development
Full term of experience must include: experience in SQL Programming and SQL server database
Must have 5 years of experience with the following: Tableau dashboard development; excellent Microsoft Excel/PowerPoint skills, with particular emphasis on data retrieval, analysis and reporting; experience in data extraction, transformation, and load (ETL) using SQL Server integration services (SSIS) or Alteryx in large scale environment; experience building web applications using C#/ASP.NET, JavaScript; and SAP/Functional experience in Planning and Procurement.
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