Data Analyst

Vestwell•Austin, NY

4d•Hybrid

About The Position

Vestwell is hiring a Data Analyst to join its data squad, supporting data analysis, observational reporting, and data-product development. The analyst will work with senior team members to translate end-user needs into actionable steps and timely solutions, learn and execute requirement-intake processes, and implement solutions using Vestwell’s data stack. The role also contributes to building AI-powered solutions that can scale for long-term growth and expand the team’s capacity across the organization. The position is based in one of Vestwell’s New York, Austin, King of Prussia, or Scottsdale offices and follows the company’s hybrid in-office model. The expected base salary is $70,000–$80,000, with eligibility to participate in the Company Bonus Pool and receive new-hire equity.

Requirements

College degree; a business or mathematics degree is specified.
Ability to thoroughly understand and document business and functional requirements and use cases.
Working understanding of the software development life cycle (SDLC).
Ability to work in a fast-paced, project-oriented environment and meet deadlines under tight time constraints.
Ability to work independently and collaboratively with Product, Engineering, and QA teams.
Excellent verbal and written communication skills.
Ability to interface with internal stakeholders.
Experience with SQL, including the ability to read and write SQL to a demonstrable extent.

Responsibilities

Understand project goals and stakeholder requirements, identify opportunities, and translate inputs into buildable features with clear execution plans.
Communicate and share plans and decisions effectively with stakeholders at all levels.
Partner with developers to break product requirements into discrete tasks with clear functional requirements and acceptance criteria.
Assist the QA team in identifying appropriate positive and negative test cases to support test coverage and code quality.
Provide iterative feedback to the development team, identify bugs, and assist with resolution.
Complete functional testing and provide initial product sign-off when features are ready for end-user verification.
Learn and execute requirement-intake processes and implement solutions using the company’s data stack.
Work with the broader team to learn to build scalable AI-powered solutions.