This is a full-time, salaried opportunity with Monday-Friday workdays. This role will be hybrid, with the expectation that this individual be in the Denver office at least two days per week if within the 50-mile radius threshold or three days per month if outside the 50-mile radius threshold.
Warehouse Anywhere provides self-storage solutions for businesses looking to centralize the administrative requirements to manage their storage assets nationwide. Our team enables the seamless management of your storage units regardless of location. Powered by our proprietary technology, our solution saves your organization time, money and creates efficiencies for your operations, procurement and sales teams.
Applications will be accepted on an ongoing basis until the position is filled.
JOB DESCRIPTION:
We are seeking a Data Analyst to support Warehouse Anywhere’s transition to a technology-first storage and logistics platform by delivering high-quality data insights, reporting, and analytical solutions that drive operational efficiency, financial accuracy, and strategic decision-making.
This role plays a critical part in enabling data-driven decisions across Operations, Finance, Customer Success, and Technology. The Data Analyst will be responsible for building scalable reporting solutions, analyzing large datasets, identifying trends and anomalies, and collaborating cross-functionally to improve processes and data quality.
This is an individual contributor role with a defined path to Senior Data Analyst as the function scales.
KEY RESPONSIBILITIES:
Data Analysis, Reporting & Insights
- Analyze large datasets from Dataverse, SQL, and other systems to identify trends, anomalies, and business opportunities
- Build and maintain scalable reporting solutions in Power BI and other BI tools
- Translate complex data into actionable insights for both technical and non-technical stakeholders
- Proactively identify data inconsistencies, missing records, and process gaps impacting reporting accuracy
- Produce ad hoc reports for the Executive Leadership Team
Operational & Financial Analysis
- Support invoice validation, reconciliation, and exception reporting processes across systems
- Investigate discrepancies in rent, fees, and facility cost data and provide root cause analysis
- Partner with Operations and Finance teams to improve data accuracy and reporting reliability
- Develop metrics and KPIs that track operational efficiency, customer activity, and financial performance
Data Quality & Process Improvement
- Own data quality monitoring across key entities, including facilities, spaces, rent, invoices, and partners
- Identify and implement improvements to data pipelines, transformations, and validation logic
- Standardize datasets such as addresses, facility attributes, and customer records to improve match rates and usability
- Collaborate with Technology to enhance data models and system integrations
- Own all data hygiene tasks including but not limited to partner network data, internal data, and other datasets critical to business function
Cross-Functional Partnership
- Partner with Customer Success, Client Operations, Finance, and Technology teams to understand data needs and deliver solutions
- Work with operator partners to define data import standards and own importing them into business systems
- Support ad hoc analysis requests and provide timely, accurate insights
- Work with engineering teams to define requirements for new data features, fields, and reporting capabilities
Automation
- Automate repetitive analysis, accelerate report development, and improve workflow efficiency
- Build reusable queries, datasets, and processes that reduce manual effort and improve scalability
- Continuously identify opportunities to enhance productivity through automation
Reporting & Communication
- Deliver regular reporting and dashboards that provide visibility into key business metrics
- Communicate insights clearly and concisely, highlighting risks, trends, and opportunities
- Surface data issues proactively, including root cause and recommended solutions
- Maintain documentation of data models, calculations, and reporting logic
Leadership Standards
- Demonstrate ownership of data accuracy, reporting quality, and analytical outcomes
- Maintain professionalism, confidentiality, and sound judgment
- Communicate clearly and proactively, including surfacing issues early
- Model Warehouse Anywhere’s cultural values: Solutions-Driven, Teamwork, Operational Excellence, Reliability, Accountability, Game-Changing Innovation, and Ethics
KEY PERFORMANCE INDICATORS (KPIS)
- Data Accuracy: Reduction in data discrepancies and reporting errors
- Reporting Adoption: Usage and effectiveness of Power BI dashboards and reporting tools
- Process Efficiency: Reduction in manual workflows through automation and reusable models
- Exception Resolution: Timeliness and accuracy of identifying and resolving data issues
- Insight Delivery: Quality and impact of analytical insights provided to the business
- Data Quality Improvements: Measurable improvements in standardized and validated datasets
QUALIFICATIONS
- Bachelor’s degree in Data Analytics, Business, Computer Science, Finance, or a related field preferred
- 2+ years of experience in data analysis, business intelligence, or analytics-focused roles
- Strong proficiency in at least one of SQL, FetchXML, or DAX and experience working with relational databases; Dataverse experience preferred
- Proficiency in automation techniques, including Python and/or Power Automate
- Experience building reports and dashboards in Power BI or similar BI tools
- Strong data modeling and data transformation skills
- Ability to work with large, complex datasets and identify trends and anomalies
- Experience with Microsoft 365 tools (Excel, Teams, SharePoint, etc.)
- Strong problem-solving skills and attention to detail
- Ability to communicate technical findings to non-technical audiences
PREFERRED ATTRIBUTES
- Experience working in a SaaS, logistics, or operations-driven environment
- Familiarity with financial datasets such as invoicing, rent, and cost structures
- Experience with data automation and pipeline optimization
- Exposure to Power Platform (Power Automate, Dataverse, etc.)
- Strong interest in continuous process improvement and automation
CAREER PATH
This role is an individual contributor position with a defined path to Senior Data Analyst as the Data function scales.
COMPENSATION STRUCTURE
- Base salary range: $65,000-$90,000 annually. Actual compensation will depend on experience, qualifications, skills, internal equity, and business needs.
- Bonus eligibility: This role is eligible for a 10% performance-based bonus tied to individual performance and business impact, in accordance with company policy and applicable plan terms.
- This compensation range does not include the value of benefits.
BENEFITS
- Company subsidized medical, dental, and vision insurance, including a $100/month employer contribution to an HSA account, where applicable
- Company paid short-term disability, long-term disability, and life insurance, 1x salary up to $250,000
- Pet insurance
- 401(k) with company match
- Flexible PTO
- Paid holidays
- Training and tuition assistance program
EQUAL EMPLOYMENT OPPORTUNITY
Warehouse Anywhere is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. Warehouse Anywhere is committed to providing reasonable accommodation to qualified individuals with disabilities throughout the recruitment and employment process. Applicants requiring accommodation should contact Human Resources.
ABOUT US
Since its inception in 2015, Warehouse Anywhere (WHA) has achieved steady growth and established itself as a prominent player in the storage management industry, particularly within Pharmaceutical and Field Services markets. WHA is well-positioned for significant incremental growth, driven by expanded sales efforts in both new and existing markets, continued revenue growth and margin expansion with new marketing and pricing initiatives, and ongoing expansion of its exceptional storage network, supported by anticipated further integration with Preferred Partners’ systems for seamless and efficient access to thousands of storage locations. WHA has recently brought on a private equity partner to provide capital and expertise to drive investment and growth in the business.
DIFFERENTIATORS
- Long-term Preferred Partnership Network including many of the nation’s largest self-storage providers, complemented by thousands of Non-Preferred Partner locations, granting prompt and seamless access to a vast network of thousands of facilities nationwide.
- Centralizes storage management for customers with a single, intuitive platform that allows them to track and manage their storage footprint in real time. The platform offers flexibility for seamless additions, transfers, and vacates without disruption, allowing customers to quickly and efficiently scale their storage usage up or down as needed.
- Advanced technology not only provides instantaneous visibility into a customer’s comprehensive storage network but also consolidates the billing process into monthly itemized invoices to simplify the accounting process.
- Serves as an extension of the customer’s team, eliminating the need for time-intensive and costly internal resource allocation. Customers gain the advantages of clear reporting, access to an experienced team, and streamlined operations powered by WHA’s proprietary technology.
- WHA leverages its expansive and growing network of 8,500+ storage facilities, along with access to thousands of additional Class A facilities through Non-Preferred Partners, to pre-screen locations and verify they meet all regulatory requirements.
OWNERSHIP
Argosy Private Equity, founded in 1990, focuses on lower middle market businesses in advanced manufacturing and business services. The firm emphasizes transparency and value addition at every stage, leveraging decades of expertise, robust deal sourcing capabilities, and a disciplined approach to high-quality companies at reasonable valuations. Argosy mitigates risk through a strategic approach and creates value using its proprietary Value Acceleration Methodology (VAM™). The firm has managed six funds, achieved over 100 exits, and realized $1.5 billion, with 135+ platform investments and 14,000 jobs created. Recently, Argosy was recognized as a 2025 Top PE Firm in the Middle Market.