As a Data Analyst I here at Honeywell, you will play a crucial role in transforming data into actionable insights that drive business decisions. Your responsibilities will include collecting, analyzing, and interpreting complex data sets to support various business functions and initiatives.

Key responsibilities:

• Drive the adoption of analytics culture and data-driven decision-making, promoting consumer-driven analytics, and enhance the visibility of data and analytics by providing clear data stories and spreading them across the organization.

• Create, prototype, modify, test, and deploy reports to production while working closely with the end users

• Understand data needs and translate user requirements into technical requirements

• Analyze requests for data needs and prioritize project and ad-hoc efforts

• Support cross-functional projects using advanced data modeling and analysis techniques to discover insights, guide business decisions, and identify optimization opportunities.

• Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, technical processes, and performance metrics that support key business decisions.

• Partner with Finance and Non-Finance Leadership/stakeholders to define key analytics requirements, assess business impact, resolve cross-functional issues, and manage project challenges by escalating when necessary.

• Examine, interpret, and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing, and product teams.

• Support change management initiatives and anticipate future demands within Finance, including people, technology, budget, and business needs.

Travel less than 10%

YOU MUST HAVE:

• 1 or more years of overall experience as a finance or analytics professional spread across data science, data management, analytics, FP&A, controllership, or business intelligence.
• experience developing with CXO, Tableau, PowerBI, or similar tools
• experience querying Essbase or other multi-dimensional applications.

WE VALUE:

• Bachelor's degree in Accounting, Finance, Information Systems, Computer Science, or similar
• MBA with Advanced Analytics
• Experience with Python or similar programming languages
• Exceptional analytical skills (linking results to drivers)
• Ability to see solutions in large data sets and the business mindset to convert insights into strategic opportunities.
• Strong project management skills.
• Knowledge of databases, data warehouse structures, data mining and reporting tools
• SAP, Essbase, Alteryx, and Snowflake experience
• Self-motivated, results-oriented, and assertive individual.