Asset Management Analyst
Shyft6, New York, NY, United States
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr