Manager, Business Intelligence Analytics
StorableUnited StatesPosted 24 February 2026
Job Description
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<h2><strong>Manager, Business Intelligence Analytics</strong></h2>
<p>Storable is seeking a highly skilled and experienced <strong>BI Analyst Manager</strong> to lead our team of analysts in building and delivering world-class, customer-facing reporting solutions for self-storage operators. In this role, you will be pivotal in transforming complex data into actionable insights, taking ownership of the analytics lifecycle, and working closely with cross-functional teams to ensure our operators have the data they need to run their businesses effectively. As a key member of the data platform team, you will collaborate with product, engineering, and customers to deliver BI solutions that delight our clients and address their key operational challenges. Your leadership will directly enhance the reporting experience and data actionability for storage operators and contribute to our overall business objectives. We are looking for a candidate with a proven track record in leadership within B2B SaaS, who excels at translating business needs into technical specifications and values a customer-centric approach to data visualization.</p>
<h3><strong>What you’ll do:</strong></h3>
<ul>
<li><strong>Lead and mentor</strong> a team of BI Analysts, fostering a culture of excellence, continuous learning, and data integrity.</li>
<li><strong>Develop a deep understanding</strong> of self-storage operations and our software ecosystem to ensure customer-facing reports provide high-value, actionable insights.</li>
<li><strong>Oversee the end-to-end delivery</strong> of customer reports, from initial requirements gathering to deployment and user adoption.</li>
<li><strong>Collaborate closely with Product Owners</strong> to align the BI roadmap with the overall product vision, ensuring data products meet the evolving needs of storage operators.</li>
<li><strong>Define and enforce standards</strong> for data governance, validation, visualization, dashboard design, and documentation to ensure a consistent and intuitive user experience across all customer-facing reports.</li>
<li><strong>Partner with Data Engineering</strong> to ensure the underlying data models and pipelines (Medallion architecture) are optimized for performant, scalable BI delivery.</li>
<li><strong>Serve as a bridge</strong> between technical teams and business stakeholders, translating complex data structures into clear business logic for the analytics team.</li>
<li><strong>Refine the analytics backlog</strong>, in conjunction with the Product Owner, prioritizing tasks based on customer impact, technical feasibility, and business value.</li>
<li><strong>Conduct design reviews</strong> and QA sessions to ensure all customer-facing data is accurate, reliable, and visually compelling.</li>
</ul>
<h3><strong>What you’ll need:</strong></h3>
<ul>
<li><strong>Proven experience (5+ years)</strong> in Business Intelligence or Data Analytics, with at least 2 years in a formal leadership or management role within an enterprise B2B SaaS environment.</li>
<li><strong>Deep expertise in BI tools</strong> (e.g., Looker, Tableau, Power BI) and a strong portfolio of building external, customer-facing dashboards.</li>
<li><strong>Strong technical foundation</strong> in SQL and a deep understanding of modern data stack principles, including S3, Redshift, Snowflake, and Medallion (Bronze/Silver/Gold) architectures.</li>
<li><strong>Demonstrated ability</strong> to manage a team in a nimble, Agile environment, balancing rapid delivery with long-term technical debt management.</li>
<li><strong>Passion for storytelling with data</strong>, with a focus on user empathy and creating intuitive experiences for non-technical business owners.</li>
<li><strong>Exceptional communication skills</strong>, with the ability to explain complex data concepts to storage operators and executive leadership alike.</li>
<li><strong>Experience in Property Management Software</strong> or the sel ... (truncated, view full listing at source)
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