What are the responsibilities and job description for the Data Analyst II position at honeywell?
Honeywell is a Fortune 100 company that invents and manufactures technologies to address critical challenges linked to global macrotrends such as safety, security, productivity, global urbanization, and energy. With approximately 129,000 employees worldwide, including more than 19,000 engineers and scientists, Honeywell has an unrelenting focus on quality, delivery, value, and technology in everything they make and do. Honeywell has been named a Top 100 Global Innovator for seven years in a row, recognizing the company’s global reach of portfolio and invention influence.
Honeywell Federal Manufacturing & Technologies (FM&T) manages and operates the U.S. Department of Energy/National Nuclear Security Administration’s (NNSA) Kansas City National Security Campus in Kansas City. This state-of-the-art engineering, manufacturing, and sourcing facility produces a wide array of intricate components to deliver trusted national security products and government services, primarily for the NNSA. Honeywell FM&T’s integrity, commitment, and continuous improvement culture enables them to deliver responsive, collaborative, and innovative management and technology services and products that translate into cutting-edge solutions to complex national security issues.
The Data Analyst II will support and analyze KCNSC enterprise data projects, define processes, and adhere to them. The role is responsible for performing data analysis, data integration, data mapping, and data quality for Data Analytics and Data Governance activities as determined by KCNSC Data Office management.
***This position will be in Kansas City, MO*** (Hybrid Role)
Primary Responsibilities:
- Utilize analytical and technical skills for translating and analyzing business needs into requirements and support designing and implementing one or more complex analytics solutions (reports, dashboards, data mining) and/or governance solutions (cataloging, data quality, access management.)
- Work with project work streams and business stakeholders to design, implement, and maintain best practice analytics and data governance information products and processes to support the business.
- Perform data analysis by querying data sets in databases, spreadsheets, semi-structured data, and flat file formats to identify and document master data, reference data, transaction data, business rules, data integration rules, data mapping and transformations.
- Document internal processes and audit procedures to ensure data integrity of solutions.
- Research and resolve unexpected results or internal process flaws. Effectively prioritize and deploy solutions that can replace manual processes.
- Support and prototype solutions in analytical tools such as Microstrategy, Tableau, and PowerBI.
- Support development of master data, data cataloging, and data quality processes in data management tools.
- Gathers data from multiple sources and performs moderate-level analysis, generating reports supporting organizational metrics and client services.
- Support information management projects utilizing data analysis, mining, and optimization techniques.
- Develop and follow standard operating procedures for regularly occurring processes.
- Cross-train and provide backup coverage to other team members when needed.
