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Job details

Shape the future of logistics with data. Join us as a Power BI Analyst turning real-time insights into smarter operations.

This Jobot Job is hosted by: Jamie Beene

Are you a fit? Easy Apply now by clicking the "Easy Apply" button

and sending us your resume.

Salary: $60,000 - $80,000 per year

A bit about us

Founded roughly a decade ago and based in the Denver metro area, we are a private-equity-backed, technology-enabled storage and logistics platform that helps multi-location businesses centralize and manage their storage assets nationwide.

Powered by our own proprietary technology, we serve as a single operating layer between enterprises and a fragmented storage market — simplifying access, service, and accountability so our clients can treat storage as a solved problem rather than an operational headache.

As we scale toward a technology-first model, we're building a modern, cloud-based platform that connects data, automation, and intelligence across our nationwide operations.

Why join us?

401(k) with Company Match

Comprehensive Benefits: Company-subsidized Medical, Dental & Vision ($100/month employer HSA contribution)

Company-Paid Coverage: Life insurance (1x salary up to $250k), Short- & Long-Term Disability

Pet Insurance

Flexible PTO & Paid Holidays

Training & Tuition Assistance Program

Clear Growth Path: Individual-contributor role with a defined path to Senior Data Analyst as the function scales

Hybrid Flexibility

Job Details

Key Responsibilities & Duties

Analyze large datasets from Dataverse, SQL, and other systems to identify trends, anomalies, and business opportunities

Build and maintain scalable reporting solutions and dashboards in Power BI and other BI tools

Translate complex data into actionable insights for technical and non-technical stakeholders; produce ad hoc reports for executive leadership

Support invoice validation, reconciliation, and exception reporting; investigate discrepancies in rent, fees, and facility cost data with root-cause analysis

Own data quality monitoring across key entities (facilities, spaces, rent, invoices, partners) and standardize datasets to improve match rates

Develop and track KPIs for operational efficiency, customer activity, and financial performance

Partner cross-functionally with Operations, Finance, Customer Success, and Technology to define data needs and deliver solutions

Automate repetitive analysis and build reusable queries, datasets, and pipelines to reduce manual effort

Maintain documentation of data models, calculations, and reporting logic

Qualifications

Required

Bachelor's degree in Data Analytics, Business, Computer Science, Finance, or related field (preferred, not strict)

Minimum 2–5 years in data analysis, business intelligence, or analytics-focused roles

Strong proficiency in at least one of SQL, Fetch XML, or DAX, with experience in relational databases

Experience building reports/dashboards in Power BI or similar BI tools

Proficiency in automation techniques (Python and/or Power Automate)

Strong data modeling and data transformation skills

Ability to work with large, complex datasets to identify trends and anomalies

Proficiency with Microsoft 365 (Excel, Teams, SharePoint)

Ability to communicate technical findings to non-technical audiences

Preferred

Dataverse experience and exposure to the Power Platform (Power Automate, Dataverse)

Experience in a SaaS, logistics, or operations-driven environment

Familiarity with financial datasets (invoicing, rent, cost structures)

Experience with data automation and pipeline optimization

Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.

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