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Shyft6

Asset Management Analyst

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

Job description

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

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

Ready for your next step?Apply on the official website
Apply on Himalayas ↗

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