Strategy & Analytics Lead - SQL

About Us :

HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers 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, comprised of agencies, consultants, and businesses of all sizes and industries.

HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers.

As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million hostnames.

Our People :

With 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 Impact :

As of mid 2025, 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 each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark and we get to help make that happen.

Role Overview :

Were looking for a Lead Strategy and Analytics to sit at the intersection of Product Analytics, Engineering Analytics, and Business Insights.

You will be responsible for building the analytics foundation that not only connects product usage to business outcomes, but also tracks engineering efficiency and AI adoption impact. Youll be hands-on with data - querying, modelling, and building dashboards - while partnering with leadership to shape the narrative of how product development efficiency and product adoption fuel business success.

Key Responsibilities : Analytics :

• Analyse product usage, trial-to-paid funnels, adoption of new features, retention, and churn.
• Build dashboards for feature adoption and monetisation.
• Connect product engagement data to key business KPIs (ARR, NRR, LTV : CAC).

Engineering & AI Analytics :

Data Governance & Consistency :

Strategic Insights & Storytelling :

What Youll Bring :

Why Join HighLevel?.

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.

(ref : hirist.tech)