Business Analyst, AI & Automation

Huckberry•Austin, TX

14h•Onsite

About The Position

Huckberry is hiring an early-career Business Analyst – AI & Automation to work within Strategic Finance and support internal AI adoption. The role focuses on identifying operational friction and building analytical tools and automation that help teams make better business decisions. It is neither a software engineering role nor a traditional financial reporting position. The analyst will work across Planning, Merchandising, Buying, E-commerce, Operations, and Growth, partnering with Data & Tech on technical specifications or production support when needed. The position owns work from analysis and rapid prototyping through building, testing, validation, and iteration. It is based at Huckberry’s headquarters in Austin, Texas; relocation support is available for remote hires.

Requirements

Strong business curiosity and an interest in understanding why a problem matters before building a solution.
A growth mindset, willingness to seek and use feedback, and ability to learn quickly.
Ability to handle ambiguous problems, make and communicate reasonable assumptions, and keep moving.
0–2 years of experience; new graduates are encouraged to apply.
Bachelor’s degree; all fields are encouraged to apply.
Comfort working with data and ability to pick up new tools quickly.
Strong Excel and/or Google Sheets skills, high ownership, and willingness to work without perfectly defined instructions.
Meaningful experience using AI tools to analyze, build, automate, or solve problems through coursework, internships, personal projects, or work experience.
Ability to explain technical concepts clearly to nontechnical stakeholders and work effectively across business functions.

Nice To Haves

SQL experience.
Exposure to Python or another scripting language.

Responsibilities

Help build, test, and improve analytical tools used to make business decisions across Planning, Merchandising, Buying, E-commerce, Operations, and Growth.
Use SQL, BigQuery, Hex, and AI tools to analyze data, develop actionable insights, prototype solutions, and automate manual workflows.
Work cross-functionally to understand existing decision-making processes and identify where better tools can create leverage.
Translate business questions into clear analytical requirements and partner with Data & Tech when deeper architecture or production support is needed.
Build prototypes and internal tools, validate outputs against actual business results, and iterate based on user feedback.
Pressure-test AI-generated work rather than treating AI output as inherently correct.
Document assumptions, logic, and business rules so tools can be understood, trusted, and maintained by others.
Help move successful prototypes from ideas into tools that teams use.