StorageMart | MMS is hiring a Principal Data Analyst to strengthen business intelligence with end-to-end research, reporting, and data storytelling. This hybrid role is based in Columbia, MO , with a dynamic team focused on growth and innovation, professional development in an evolving industry, and the opportunity to help drive meaningful decisions at a growing company.

Responsibilities

Lead data-driven decision making using quantitative analysis expertise. Investigate established business challenges and develop new directions for inquiry, applying natural curiosity to untangle complex problems. Own end-to-end ad-hoc data requests for internal teams, including marketing, acquisitions, sales, and senior leadership. Explain complex analytic concepts to non-technical audiences by telling a clear data story rather than reciting statistics. For recurring needs, create user-friendly Tableau self-service reporting so users outside Business Intelligence can explore data independently. Partner with IT and Data Engineering to guide new data pipelines and support the Data Mart architecture. Provide input to ETL functions without personally performing ETL work. Share findings and recommendations in small group settings and in broader weekly company-wide meetings. Manage experiments such as A/B tests , including test planning, coordinating communications, analyzing results, and presenting recommendations to senior leaders. Evaluate analytics tools, technologies, and methodologies, including AI-assisted analytics , to improve analytical efficiency and measurement accuracy. Requirements 5+ years of experience in a business intelligence, operations research, or statistical analytics role. 5+ years of demonstrated fluency in SQL query writing (non-negotiable). 5+ years of experience with Tableau or a similar BI analytics platform. Strong data storytelling skills, including the ability to communicate findings in plain language to senior leadership. Ability to create impactful PowerPoint presentations with a clear call to action. Some experience constructing machine learning models and applying advanced data science techniques. Python or R (or other quantitative programming) skills are a plus. Excellent interpersonal, project management, and communication skills. A Bachelor's degree in data science, operations research, statistics, business analytics, or a related quantitative field is preferred. Other quantitative degrees are acceptable when paired with demonstrated, hands‐on professional or personal analytic project experience. Combination of education and experience may be substituted for the stated degree/experience requirements. Basic proficiency in Microsoft Excel . Experience in self‐storage, hotel, airline, real estate, or similar industries is a plus but not required. Tools & Technologies Tableau, SQL, PowerPoint Python, R, Machine learning ETL, A/B tests Microsoft Excel Location, Schedule, and Work Environment Columbia, MO (hybrid) with in-office Monday–Friday, 8:00a–5:00p strongly preferred. Remote may be considered for the right candidate. Occasional travel to the Columbia, MO home office or company events may be required. When working remotely, the employee is responsible for maintaining a productive home office environment. Noise level is usually quiet.

Compensation

USD 120,000–150,000 per year , commensurate with experience. Physical Requirements May be required to exert up to 10 pounds of force occasionally, or a negligible amount of force frequently or constantly to lift, carry, push, pull, or move objects. Repetitive motion, including substantial movements of the wrists, hands, and/or fingers. Prolonged periods sitting at a desk and working on a computer. Visual acuity for preparing and analyzing data and figures, extensive reading, and viewing a computer terminal. Why You'll Love Working Here A team that encourages growth and innovation. Opportunities for professional development in the ever‐evolving industry. The chance to make a real difference in a growing company.