What are the responsibilities and job description for the Finance Data Analyst I position at Honeywell Aerospace?
The future is what you make it.
When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers, and doers who make the things that make the future. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars. Working at Honeywell isn't just about developing cool things. That's why all our employees enjoy access to dynamic career opportunities across different fields and industries.
Are you ready to help us make the future?
The finance data and analytics team are responsible for supporting the implementation of finance data models for Honeywell’s enterprise data warehouse and delivering end-user tools and analytics to support business decisions, while also driving change management across finance and business customers.
As a Finance Data Analyst I 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.
You will report directly to our Sr Director and you will work out of our Phoenix, AZ or Minneapolis, MN location on a hybrid work schedule. Please note, all new hires will be required to work fully onsite for the first 90 days.
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%