[Remote] BI Data Analyst
Note: The job is a remote job and is open to candidates in USA. VitalEdge Technologies is a leading provider of ERP software and solutions in the heavy equipment sector. The BI Data Analyst role involves leading client-facing analytics engagements, modernizing analytics, and translating operational data into measurable outcomes for dealership executives.
Responsibilities
- Own client analytics roadmap from discovery through value realization
- Lead discovery workshops with dealer principals
- Analyze requirements, diagnose gaps across departmental operations
- Translate dealership strategy into measurable KPI frameworks
- Present executive-ready insights and KPI roadmaps
- Manage multiple customer engagements concurrently
- Define / Analyze business requirements, metrics, and scoping for development and /or customization of reports/dashboards/KPIs
- Architect and standardize operational dashboards for dealerships based on roles, industry, and multi-branch/multi-geographical dealer groups
- Improve reporting governance, automation, and data integrity
- Drive measurable improvement across industry metrics and KPIs such as (but not limited to):
- Service absorption rates
- Labor Productivity
- Parts inventory turns
- Equipment Sales margin and ROA
- Rental fleet utilization and ROI
- Support pre-sales efforts through solution design and customer presentations
- Contribute to proposal development and scoping
- Position VitalEdge as a thought leader in heavy equipment industry metrics and analytics
Skills
- 6+ years in Business Intelligence, Analytics Consulting
- Strong experience in Heavy Equipment dealership environments across Construction, Material Handling, Agriculture, or Mining, including direct exposure to dealership financial and operational KPIs
- Advanced proficiency in Microsoft BI (Power BI, Semantic Models, ETLs, Fabric, Data Lake)
- Strong SQL and data modelling expertise
- Proven ability to influence senior operational leaders
- Microsoft Certified Power BI Data Analyst
Company Overview
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