Business Intelligence - Principal Data Analyst

Storage Mart•Columbia, MO

5d•Hybrid

About The Position

We are seeking a Principal Data Analyst to join our Business Intelligence team. This position offers hands-on experience with identifying meaningful questions and following those quantitative investigations through generating business recommendations. The ideal candidate will possess strong intellectual curiosity, quantitative skills, and a knack for asking "What's next?". The analyst will semi-autonomously drive business research and reporting, managing questions from conception through analysis and solution delivery to stakeholders. This role is based in Columbia, MO, with hybrid or remote options considered for the right candidate.

Requirements

Bachelor’s degree in data science, operations research, statistics, business analytics, or a related quantitative field preferred. Other quantitative degrees are acceptable when accompanied by demonstrated, hands-on professional or personal analytic project experience.
5+ years of experience in a business intelligence, operations research, or statistical analytics role.
A combination of education and experience may be substituted for the above.
5+ years of demonstrated fluency in SQL query writing is a non-negotiable requirement.
5+ years of experience with Tableau or similar BI analytics platform.
Strong data storytelling skills are extremely important. A demonstrated ability to convey findings in plain language to senior leadership.
Proficient in creating impactful presentations in Powerpoint with a clear call to action.
Some experience in constructing machine learning models and applying advanced data science techniques.
Excellent interpersonal, project management, and communication skills.
Basic proficiency in Microsoft Excel Needed

Nice To Haves

Python, R, or other quantitative programming language skills are a plus.
Experience in self-storage, hotel, airline, real estate, or similar field is a plus but not required.

Responsibilities

Drive data-driven decision making from a place of quantitative expertise.
Perform thorough investigation into established business challenges and develop new avenues of investigation.
Manage end to end ad-hoc data requests from all internal departments; including marketing, acquisitions, sales, and senior leadership.
Convey complex analytic concepts to a non-technical audience, telling the story of the data, not reciting statistics.
Create user-friendly Tableau reporting for recurring requests to allow for data self-service among users outside the Business Intelligence department.
Manage relationships with IT and Data Engineering to guide the construction of new data pipelines and the architecture of the Data Mart.
Regularly share findings and recommendations in both small groups as well as broader company-wide weekly meetings.
Manage projects such as A/B tests, including planning, communicating, analyzing results, and giving recommendations.
Identify and evaluate new analytics tools, technologies, and methodologies, including AI-assisted analytics capabilities.