This is a remote position.

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