Data Analyst

About UsHighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, from marketing agencies to entrepreneurs to small businesses and beyond. Our platform empowers users across industries to streamline operations, drive growth, and crush their goals.
HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million domain names.
Our PeopleWith over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.
Our ImpactEvery month, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve. Behind those numbers are real people growing their companies, connecting with customers, and making their mark – and we get to help make that happen
Learn more about us on our YouTube Channel or Blog Posts
Who You Are:As a Data Analyst at HighLevel, you will be responsible for transforming data into actionable insights that support strategic decisions and operational improvements. You’ll work across departments to build reports, automate workflows, and uncover trends that drive growth and enhance the customer experience. This role requires strong analytical skills, proficiency with tools like Google Sheets and SQL, and the ability to communicate data clearly to both technical and non-technical stakeholders.

Data Analysis & Reporting

• Analyze large datasets to identify trends and provide insights that support business strategy, customer success, and product development.
• Build and maintain analytics models including cohort analysis, churn prediction, and customer segmentation. Conduct deep dives into NPS, CSAT, and CES data and forecast customer behavior and lifetime value (LTV) to inform retention and growth strategies.

Tools & Technical Expertise

• Develop advanced Google Sheets dashboards, reports, and automated workflows using functions and Apps Script.
• Write and maintain SQL queries to extract and transform data for internal analytics and reporting purposes.
• Build and maintain visual dashboards in Tableau or other BI tools to communicate KPIs and business metrics effectively.

Customer Success Metrics & Impact

• Analyze customer success metrics (churn, retention, NPS, CES, CSAT) and customer health scores to deliver insights. Evaluate onboarding, adoption, and engagement data to support customer experience improvements.
• Ensure data accuracy, consistency, and best practices for data handling and version control for Customer Success Metrics Expertise Churn/retention rates, Net Promoter Score (NPS), Customer Effort.

Collaboration & Communication

• Work closely with Success, Product, Sales, and Marketing teams to understand data needs and deliver custom analytics solutions.
• Translate data insights into actionable strategies for Customer Success and cross-functional teams. Collaborate closely with CSMs and Customer Care to refine customer health metrics and proactive alerting systems.

Process Optimization

• Identify opportunities for automation and efficiency across data-related processes using tools like Google Sheets and SQL.

What You’ll Bring

• Bachelor’s degree in Business, Economics, Computer Science, or a related field
• 3–5 years of experience in a Data Analyst or similar role (SaaS experience preferred)
• Proficiency in Google Sheets, including advanced formulas and scripting
• Strong SQL skills and experience with BI tools like Tableau
• Excellent analytical and problem-solving skills
• Effective communication skills for both technical and non-technical audiences
• Strong organizational and time management abilities
• Experience with collaboration tools like Google Workspace, Slack, and Zoom
• Ability to work independently and manage multiple projects in a remote, fast-paced environment
• Understanding of the customer lifecycle—from onboarding and adoption to reactivations, implementations, and migrations.

Equal Employment Opportunity Information
The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.