Website Honeywell

Sr Data Analytics Professional

Join a team recognized for leadership, innovation and diversity

As a Sr Data Analytics Professional in the HBT, you will be responsible for designing, building, and maintaining our Big Data platform and massive data stores on which our data analytics applications and tools run on. Key to the growth for Honeywell Aerospace will be our ability to capture, structure and analyze critical data that is produced by our systems and operations. You will work with site, HBT resources to develop cross-platform ETL to support advanced analytics for ISC. You will mine systems data for insights to improve COPQ. You will design, develop, and maintain cross-platform ETL processes and maintain dimensions and reference lookup dictionaries. You will develop  guidelines, standards, and processes to ensure the highest data quality and integrity in the data stores residing on the Big Data platform. You will participate in setting strategy and standards through data architecture and implementation leveraging big data and analytics tools and technologies. You will work closely with data scientists and data owners in the supply chain to understand their data requirements for existing and future projects on data analytics applications. You will work with IT and data owners to understand the types of data collected in various databases and data warehouses and define the migration strategy to move existing data into the Big Data platform.

Understanding of supply chain and operations processes including how analytics can improve COPQ
Ability to execute projects using an agile approach in a multi-disciplinary, matrixed environment
Comfortable working in a dynamic, research and development environment with several ongoing concurrent projects
Enjoys exploring and learning new technologies

Key Responsibilities

Reporting and analysis
Operational expertise
Partner with leadership
Establish clear processes
Identify improvement areas

YOU MUST HAVE

  • Bachelor degree in computer science, IT, engineering, or other relevant field with a minimum of 5 years of data management experience
  • 6+ years of experience in designing, deploying, and supporting data systems and solutions
  • 4+ years of experience in migrating data from data sources (MS SQL, Oracle, MySQL etc.)
  • 5+ years of experience in working with various database technologies and writing complex queries
  • +3 year experience with Servigistics, Rapid Reponse, SAP (planning/procurement modules), Business Objects, Quality systems

WE VALUE

  • Masters or PhD degrees in computer science, IT, engineering or relevant fields
  • Ability to identify data sources that will drive improvements in COPQ
  • Certification in Hadoop and other big data tools and technologies
  • Experience with open source data processing frameworks
  • Experience with supply chain
  • Experience with data management on public cloud hosting services
  • Experience with predictive analytics
  • Experience with Agile software development methodology
  • Ability to work in a fast-paced and ambiguous environment
  • Experience in scripting languages (Perl, Python, Java etc)

Additional Information

  • JOB ID: req196323
  • Category: Finance
  • Location: 1985 Douglas Drive North, Suite HBT, Golden Valley, MN 55422 USA
  • Exempt
  • Must be a US Citizen due to contractual requirements.