Analytics Engineer, Business Solutions

Vertex Service Partners; Charlotte (NC); On-site; USD 110,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Growth opportunities

Benefits

Job summary

Vertex Service Partners is a home improvement services company focused on residential roofing and other exterior services across the United States.

The Analytics Engineer, Business Solutions bridges how Vertex's brands operate with data models, dashboards, and internal apps, partnering with FP&A, Marketing, Operations, and the Data & AI Engineering team to turn ambiguous problems into trusted analytics solutions.

Qualifications

• 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.

Responsibilities

• Serve as the primary point of contact for data and BI requests from FP&A, Marketing, Operations, and stakeholders.
• Build and maintain dashboards and analytical reporting that drive actionable business insights.
• Develop gold-layer data models using dbt and SQL, transforming requirements into scalable datasets.
• Build lightweight internal applications using AI-assisted development tools and CI/CD workflows.
• Identify manual workflows and implement lightweight automation to improve efficiency.
• Validate data and reporting against operational source systems, including ServiceTitan.
• Translate ambiguous business requests into clearly defined technical requirements and implementation plans.
• Identify opportunities for AI, automation, and reusable logic to reduce manual work.

Skills

SQL

Data modeling

Dashboards

dbt

Power BI

Tableau

Looker

AI tools

GitHub

Analytical thinking

Communication

Tools

Sigma

Power BI

Tableau

Looker

GitHub

Job description

Overview

Vertex Service Partners is a home improvement services company focused on residential roofing and other exterior services across the United States. Backed by Alpine Investors, a top-decile private equity fund with $4.0 billion of committed capital, Vertex is building a best-in-class national platform. Our company is built on our core values—servant leadership, unwavering character, a growth mindset, persistence, empowerment, pace, and fun—and guided by three pillars: being the Employer of Choice, Partner of Choice, and Contractor of Choice. We offer transformative support in operations, marketing, training, talent, finance, and technology, all while preserving the autonomy of local brands.

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.

Responsibilities

• Business Partnership & Intake: 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.
• Dashboard Development & Insights: Build and maintain dashboards and analytical reporting that provide actionable business insights and improve decision-making across the organization.
• Data Modeling: Develop gold-layer data models using dbt and advanced SQL, transforming business requirements into clean, scalable datasets that support dashboards, reporting, and internal applications.
• Internal Application Development: Build lightweight internal applications using AI-assisted development tools and modern development practices. Utilize GitHub and CI/CD workflows to deliver maintainable business solutions.
• Business Process Automation: Partner with business stakeholders to identify manual workflows and implement lightweight automation solutions that improve operational efficiency.
• Business Validation: Validate data and reporting against operational source systems, including ServiceTitan, ensuring business users trust the accuracy and integrity of reporting outputs.
• Requirements Translation: Translate ambiguous business requests into clearly defined technical requirements and actionable implementation plans.
• Continuous Improvement: Identify opportunities for AI, automation, and reusable business logic that reduce manual work and improve operational effectiveness across the organization.

Key Outcomes

• Deliver trusted dashboards, data models, and internal applications that improve business decision-making.
• Independently own the delivery of straightforward analytics and application requests while providing production-ready foundations for more complex engineering initiatives.
• Improve stakeholder confidence in business reporting through validation against operational source systems.
• Reduce manual work across the organization by identifying and enabling automation opportunities.
• Build strong partnerships with FP&A, Marketing, Operations, Sales, and Leadership by translating business needs into effective technical solutions.

Qualifications & Characteristics

Required:

• 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.

Preferred:

• 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.

What You’ll Get

• Competitive salary (based on experience) & benefits
• Opportunities for growth within a fast-paced, innovative company

Compensation

• Competitive base salary with a target range of $110,000-$130,000 which includes eligibility for performance-based bonuses.
• Opportunity to work directly with senior leadership on high-impact business initiatives.
• Exposure to modern AI, analytics, automation, and application development technologies.
• Opportunities for growth within a fast-paced, innovative company.

Why Join Us?

• Build Something Big – Shape processes for a rapidly growing organization.
• Growth-Oriented Culture – Work in a dynamic, people-first environment.
• Make an Impact Across Regions – Partner with business leaders to drive meaningful change.