Analytics Engineer, Business Solutions

Vertex Service Partners•Charlotte, NC

17h•$110,000 - $130,000•Hybrid

About The Position

The Analytics Engineer, Business Solutions serves as the bridge between how Vertex's brands operate and the data models, dashboards, and internal applications built to support them. This role partners closely with FP&A, Marketing, Operations, and the Data & AI Engineering team to transform ambiguous business problems into trusted analytics solutions, lightweight applications, and automation opportunities. The Analytics Engineer owns simpler business solutions end-to-end while providing scalable foundations for more complex engineering initiatives.

Requirements

3+ years of experience as a Data Analyst, BI Analyst, Business Analyst, or Analytics Engineer.
Strong SQL skills with experience building data models from business requirements.
Experience developing data models using dbt or the ability to quickly learn modern data transformation frameworks.
Experience building dashboards in Sigma or comparable business intelligence platforms such as Power BI, Tableau, or Looker.
Experience building lightweight internal applications using AI-assisted coding tools.
Familiarity with Git, GitHub, and collaborative software development practices.
Strong analytical thinking and business curiosity with the ability to validate data against operational reality.
Excellent communication skills with the ability to translate technical concepts into business solutions.
Ability to work effectively in a collaborative, fast-paced, and entrepreneurial environment.
Strong critical thinking, adaptability, and problem-solving skills.

Nice To Haves

Experience with dbt, Snowflake, or a modern cloud data platform.
Experience with ServiceTitan or similar field service platforms.
Experience building AI agents, automations, or AI-powered workflows.
Experience working in a private equity-backed, roll-up, or high-growth organization.
Experience supporting home services, construction, or multi-site operations.

Responsibilities

Serve as the primary point of contact for data and business intelligence requests from FP&A, Marketing, Operations, and other stakeholders.
Gather business requirements, triage requests, and prioritize work through a shared intake process.
Build and maintain dashboards and analytical reporting that provide actionable business insights and improve decision-making across the organization.
Develop gold-layer data models using dbt and advanced SQL, transforming business requirements into clean, scalable datasets that support dashboards, reporting, and internal applications.
Build lightweight internal applications using AI-assisted development tools and modern development practices.
Utilize GitHub and CI/CD workflows to deliver maintainable business solutions.
Partner with business stakeholders to identify manual workflows and implement lightweight automation solutions that improve operational efficiency.
Validate data and reporting against operational source systems, including ServiceTitan, ensuring business users trust the accuracy and integrity of reporting outputs.
Translate ambiguous business requests into clearly defined technical requirements and actionable implementation plans.
Identify opportunities for AI, automation, and reusable business logic that reduce manual work and improve operational effectiveness across the organization.