Sr Advanced Data Analyst

About us:

Join a company that's reintroducing itself to the aviation community we've helped advance for more than a century. At Honeywell Aerospace (NASDAQ: HONA), we're launching as an independent, publicly traded aerospace and defense company built on a legacy of operational excellence and mission-focused execution. 

Our new brand identity pairs that heritage with real momentum, as we build technology that helps pilots navigate with confidence, aircraft operate more efficiently, and operators stay ahead of change. With our systems on board 90% of the world's aircraft, your work here has reach that's rare to find anywhere else.

Focusing on our customers, investing in innovation, and building a culture of accountability and performance is how we're shaping what comes next.

Every horizon. Every mission. Every day.

As a Sr. Data Analyst, you will play a crucial role in overseeing the management and analysis of large volumes of data. You will ensure the efficient handling of data while driving business insights and supporting decision-making processes. You will develop data management strategies and policies, collaborating across teams to ensure data quality and integrity.  You will lead end-to-end data initiatives and drive strategic business decisions through advanced analytics. In this role, you will bridge the gap between raw data and actionable insights, influencing executive-level strategies. 

Key Responsibilities

• Strategic Insights: Analyze complex datasets to identify trends, opportunities for growth, and operational efficiencies.
• Visualization & Reporting: Design and maintain automated interactive dashboards (e.g., Tableau or Power BI) to track enterprise-wide KPIs.
• Stakeholder Collaboration: Partner with cross-functional leaders to define business requirements and translate them into analytical roadmaps.
• Data Governance & Strategy: Develop and implement data management policies, procedures, and governance activities to ensure data quality, security, and integrity across the organization.
• Data Lifecycle Management: Gather, clean, and organize data from various sources, managing large-scale integration and migration projects.
• Mentorship: Act as a subject matter expert, providing guidance and analysis for data. 
• Predictive Modeling: Build and deploy models to forecast future outcomes. 

Required Skills & Qualifications:

• Experience: 10+ years of professional experience in data analytics or a related field.
• Python Proficiency: Expert ability to write scripts for data cleaning, transformation, and automated reporting.
• Advanced Excel Skills: Mastery of Pivot Tables, Power Query, complex nested formulas, and VBA/Macros for high-level data modeling.
• Technical Knowledge: Strong experience with data integration, migration, and quality assurance tools.
• Leadership: Proven leadership in managing large sets of data in a fast-paced environment.