Honeywell International - Kansas City, MO

posted 2 months ago

Full-time - Mid Level
Kansas City, MO
Computer and Electronic Product Manufacturing

About the position

The Sr. Data Analyst will provide senior-level support and analysis for KCNSC enterprise data projects, defining processes and adhering to them. This role is crucial for performing data analysis, data mapping, data integration, and data quality activities as determined by the KCNSC Data Office management. The analyst will utilize their analytical and technical skills to translate and analyze business needs into requirements, leading the design and implementation of multiple complex analytics solutions, including reports, dashboards, and data mining, as well as governance solutions such as cataloging, data quality, and access management. In collaboration with project work streams and business stakeholders, the Sr. Data Analyst will design, implement, and maintain best practice analytics and data governance information products and processes to support the business. The role involves performing data analysis by querying data sets in various formats, including databases, spreadsheets, semi-structured data, and flat files, to identify and document master data, reference data, transaction data, business rules, data integration rules, and data mapping transformations. Additionally, the analyst will document internal processes and audit procedures to ensure data integrity of solutions and will research and resolve unexpected results or internal process flaws, effectively prioritizing and deploying solutions that can replace manual processes. The Sr. Data Analyst will also design and support data models optimized for analytical tools such as Microstrategy, Tableau, and PowerBI, creating BI reports as needed. They will support the development of master data, data cataloging, and data quality processes in data management tools, gathering data from multiple sources to perform moderate to complex analysis, generating reports that support organizational metrics and client services. The role requires the analyst to support a variety of information management projects, develop and follow standard operating procedures for regularly occurring processes, and mentor and cross-train other team members when needed. Operating at the Sr. Analyst level, the duties and responsibilities should be carried out with autonomy, requiring minimal direct supervision of day-to-day tasks and only high-level direction from departmental leadership. The analyst should have the ability to support and coach others while maintaining productivity on directly assigned work.

Responsibilities

  • Utilize analytical and technical skills for translating and analyzing business needs into requirements and lead the design and implementation of multiple 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 format 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 prioritizing and deploying solutions that can replace manual processes
  • Design and support data models optimized to support analytical tools such as Microstrategy, Tableau, PowerBI and create BI reports
  • Support development of master data, data cataloging and data quality processes in data management tools
  • Gather data from multiple sources and perform moderate to complex analysis, generating reports supportive of organizational metrics and client services
  • Support a variety of information management projects of a highly varied nature including data analysis, data mining and data optimization
  • Develop and follow standard operating procedures for regularly occurring processes
  • Mentor, cross-train and provide back-up coverage to other team members when needed

Requirements

  • Bachelors Degree or 6 years equivalent experience
  • 5 years of demonstrated data management experience, including the ability to merge, clean and analyze large amounts of data
  • US Citizenship is needed to obtain and maintain the required US Dept of Energy 'Q' level security clearance
  • 3-5 years of technical experience utilizing database technologies and/or data process analysis experience within information architectures / digital ecosystems
  • Technical experience should include SQL, PL/SQL, T/SQL, NoSQL programming, and database objects such as stored procedures, materialized views, functions etc. or analytics tools (Microstrategy, Tableau, PowerBI) or data management tools (MDM, Data Catalog, Data Quality tools)
  • Data Process Analysis experience should include documentation and analysis techniques such as data flow diagrams (DFD), Unified Modeling Language (UML), and analyzing system level information flow and decomposing data process dependencies within a digital ecosystem
  • Experience working with Data management platforms
  • Experience working with data models, data warehouse, data management and data movement
  • Good understanding of data virtualization concepts and experience developing unified semantic model
  • Demonstrated ability to manage through ambiguity and competing priorities
  • Excellent oral and written communication and analytical skills
  • Strong interpersonal and collaborative work style
  • Ability to work with and manage confidential information in a professional manner
  • Strong organizational and time management skills
  • Ability to lead/drive priorities
  • Experience implementing impactful Analytics
  • Experience working on large scale business process improvement with results
  • Ability to translate business requirements into effective process management solutions
  • Strong MS Excel skills preferred
  • Proactive analytical and collaborative problem-solving skills with business acumen
  • Experience modelling processes and business rules utilizing BPM tools
  • Ability to clearly document business process & system requirements
  • Ability to communicate effectively with both senior managerial and technical teams
  • Ability to drive action, deliver results, with agile approach
  • Convey information with clarity and directness, ensuring the message is understood across diverse, global teams

Nice-to-haves

  • Strong MS Excel skills preferred

Benefits

  • Relocation Available
  • Hybrid Remote Eligibility
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