Business Intelligence - Principal Data Analyst

Storage Mart | 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.

• 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.

• 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 Power Point 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.

• Tableau, SQL, Power Point
• Python, R, Machine learning
• ETL, A/B tests
• Microsoft Excel

• 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.

USD 120,000–150,000 per year
, commensurate with experience.

• 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.

• 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.