Asset Management Analyst

Overview

We are seeking an Asset Management Analyst to support the tracking, analysis, and optimization of assets across systems and client environments. This role will leverage data and analytics to provide insights into asset performance, utilization, and lifecycle management, supporting solutions built on AWS, Azure, Tableau, Power BI, and DealCloud CRM.

The ideal candidate brings a combination of analytical skills, attention to detail, and an understanding of asset or portfolio management concepts, with the ability to work in a data-driven, AI-enabled environment.

Key Responsibilities

• Track and manage asset data across systems, ensuring accuracy, completeness, and consistency
• Analyze asset performance, utilization, and trends to support business and operational decisions
• Develop and maintain dashboards and reports using Tableau and Power BI
• Validate and reconcile data across data pipelines, reporting tools, and CRM systems (DealCloud)
• Support asset lifecycle management, including onboarding, tracking, and reporting
• Identify opportunities for process improvement and optimization using data insights
• Assist with forecasting, planning, and performance analysis related to asset portfolios
• Collaborate with operations, finance, and technology teams to align data insights with business needs
• Ensure adherence to data governance and reporting standards
• Support AI-driven initiatives by preparing and validating asset-related datasets

Requirements

Required Qualifications

• 2–4 years of experience in asset management, financial analysis, operations analysis, or data analyst roles
• Strong analytical skills with experience in data analysis and reporting
• Proficiency in Excel and/or SQL for data analysis
• Experience with BI tools such as Tableau or Power BI
• Strong attention to detail and data accuracy
• Ability to translate data into actionable insights

Key Traits for Success

• Strong attention to detail and data integrity
• Analytical mindset with problem-solving abilities
• Ability to connect data insights to business outcomes
• Collaborative and able to work across teams
• Adaptable in a technology-driven environment