Data Management Analyst

About the role

Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work. The Data Management Analyst is an experienced individual contributor who works independently with limited supervision to advance data governance, organizational change management, and data fluency across the MAG Business Modernization Program (BMP). In partnership with the Data Management Business Partner and functional stakeholders, this role defines data needs, analyzes and visualizes data, promotes adoption of governance practices, and translates business questions into actionable insights. The analyst may also lead defined components of data management and analytics projects, processes, or programs.

Responsibilities

• Partner with the Data Management Business Partner to deploy data governance practices, organizational change management activities, and data fluency initiatives across the business.
• Define and document business data requirements, data quality needs, and reporting and analytics use cases in partnership with functional stakeholders.
• Collect, prepare, clean, analyze, and visualize data sets to identify patterns, trends, risks, and opportunities that support business decision‑making.
• Develop dashboards, reports, and analytical outputs that translate data into clear insights and actionable recommendations for business users.
• Support data governance adoption by helping business teams understand and apply data standards, ownership and stewardship responsibilities, and process expectations.
• Contribute to organizational change management and communication activities that increase awareness, adoption, and effective use of data management practices.
• Communicate insights, recommendations, and data governance expectations to technical and non‑technical stakeholders within and outside the function.
• Identify opportunities to improve the efficiency, consistency, and automation of recurring data analysis, reporting, and data management processes.
• Depending on the scope of the assignment, the role may also: lead defined components of data governance, organizational change management, and data fluency initiatives in partnership with the Data Management Business Partner and business stakeholders; independently develop analytical models and advanced visualizations when needed to address complex business questions, identify trends and patterns, and improve decision‑making; solve complex data or process problems by applying advanced data management and analytics knowledge and adapting established methods or solutions to new business contexts; provide analytical inputs for broader data science, data mining, process improvement, or transformation initiatives as needed;