Manager, Analytics

HighLevel
IndiaPosted 1 April 2026

Job Description

Title:  Manager, Analytics  Location: India ( 100% Remote) Shift timings: 2 PM - 11 PM IST 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 1 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. Learn more about us on our YouTube Channel or Blog Posts Who You Are The Manager, Analytics Delivery & Operations is a business-focused leader responsible for the “last mile” of analytics execution. You are the operational backbone of the GTM organization, ensuring that Marketing and Affiliate teams receive accurate, timely, and actionable data to drive growth decisions. You are an execution-first delivery leader with strong technical fluency and a relentless focus on business impact. While you are comfortable reviewing and validating analytical logic, exploratory SQL, data models, and dashboards, your primary mandate is not exploration or research — it is to operationalize established analytics into a high-service, high-velocity delivery engine. You excel at taking proven data processes and scaling them through rigor, standards, and repeatable execution in support of the company’s strategic goals. This role is expected to operate primarily during US business hours to support real-time GTM decision-making. What You’ll Do: - Independently retrieve, analyze, and validate data from the warehouse to support high-urgency GTM questions during US business hours, using exploratory SQL queries or analytical tools as needed. While this role does not own production SQL development, dbt modeling, or BI dashboard execution, it requires strong warehouse literacy — including table structures, column semantics, and key metrics — to extract insights quickly, validate logic, and guide downstream execution. - Partner with the Data and Discovery teams once source data is available in the warehouse and business logic is aligned, to gain a deep understanding of underlying systems, data structures, and analytical logic prior to execution. - Take full ownership of the analytics build phase — translating approved definitions and workflows into execution-ready logical data frameworks, data requirements, and dashboard wireframes, and orchestrating and overseeing delivery in close partnership with the BI team, who retain execution ownership of Tableau dashboard development and deployment, with accountability for business readiness and delivery quality.  - Serve as the primary liaison between GTM stakeholders and the BI team, fielding one-off analytical requests while proactively identifying recurring questions and converting them into scalable dashboards and automated analytics ou ... (truncated, view full listing at source)
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