Asset Management Analyst
TypeFull-time job
LocationUnited States
Posted1 hour ago
This is a remote position.
Asset Management AnalystOverview
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
Originally posted on Himalayas
Asset Management AnalystOverview
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
Originally posted on Himalayas
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