Manager, Analytics

About HighLevel

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.

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 outputs designed for clarity and actionability.
• Once dashboards and analytics outputs are formalized, continuously evolve and enhance them by introducing new views, metrics, and improvements to ensure the analytics platform remains relevant, high-impact, and aligned with evolving GTM needs.
• Identify high-impact, high-frequency analytical questions where decision velocity is essential, and lead the development of AI-driven analytics agents that automate responses, enabling instant access to trusted insights and materially accelerating GTM decision-making.

Core Accountabilities & Outcomes

Speed and Reliability of GTM Analytics Delivery

• Ensure GTM stakeholders receive accurate, timely analytics to support decision-making during US business hours.
• Minimize turnaround time for high-urgency questions while maintaining consistency with agreed business definitions.
• Reduce dependency on ad-hoc analysis over time by identifying repeat needs and driving dashboard or AI-agent productization.

Predictable Delivery of Dashboards & AI Analytics Products

• Own delivery timelines and execution rigor for dashboards and AI-driven analytics agents across Marketing and Affiliates.
• Ensure analytics outputs are shipped on schedule and are usable, clearly structured, and aligned with GTM workflows.
• Drive prioritization, sequencing, and delivery predictability across concurrent analytics initiatives.

Analytics Delivery Team Effectiveness

• Lead and develop a small, focused analytics delivery team (approximately 2–4 analysts in the initial phase), with responsibility to scale team capacity through process, documentation, and automation as GTM demand grows.
• Build a high-performing analytics delivery team by mentoring, upskilling, and setting clear execution standards.
• Improve analyst productivity, confidence, and business context to enable faster and more consistent delivery.
• Establish repeatable workflows that reduce friction and ambiguity in day-to-day execution.
• Establish and maintain a centralized knowledge base of GTM business logic, metric definitions, and delivery standards to ensure consistency, continuity, and elimination of single-point-of-failure risks.

Business Accuracy, Alignment, and Trust

• Ensure analytics outputs reflect agreed business definitions, assumptions, and stakeholder expectations at the point of delivery.
• Act as the final business-alignment checkpoint before analytics are released to GTM stakeholders.
• Partner with BI and Data teams to surface discrepancies or risks, without owning technical QA or dashboard build execution.

Success Metrics

• Speed & Reliability of GTM Analytics Delivery: Percentage of high-urgency GTM analytical requests answered within defined SLA during US business hours. Median turnaround time for ad-hoc GTM questions not already supported by dashboards or AI agents. Reduction in repeat ad-hoc requests through successful dashboarding or AI-agent productization.
• Delivery Predictability & Output Quality: On-time delivery rate for dashboards and AI-driven analytics products against committed timelines. Reduction in post-release clarifications, rework, or logic corrections required for GTM-facing analytics. Consistent alignment of delivered analytics with agreed GTM business definitions and workflows.
• Adoption & Business Impact of Analytics Outputs: Active usage and adoption of GTM dashboards and AI agents by Marketing and Affiliate stakeholders. Demonstrated reduction in manual reporting effort or dependency on ad-hoc analysis for recurring questions. Stakeholder feedback indicating improved clarity, trust, and decision-making speed enabled by analytics.
• Team Performance & Operational Resilience: Improvement in analyst throughput, confidence, and delivery consistency over time. Reduction in single-point-of-failure risks through documented logic, standardized workflows, and knowledge base coverage. Team engagement and retention within the Analytics Delivery function.
• Cross-Functional Effectiveness & Trust: Positive feedback from GTM, BI, and Data partners on clarity of requirements, execution coordination, and delivery reliability. Reduction in delivery friction or escalations due to misalignment, ambiguity, or ownership gaps. Sustained trust in analytics outputs used by senior GTM leadership for high-stakes decisions.

What You’ll Bring

• 8+ years of total experience with 2+ years of team management in analytics delivery, BI operations, analytics program management, or similar execution-focused analytical roles supporting business teams.
• Strong working knowledge of SQL for exploratory analysis and data validation, along with a solid understanding of KPIs, metric definitions, and dashboard logic.
• Proven track record of managing high-volume, time-sensitive analytical requests while maintaining accuracy, consistency, and stakeholder trust.
• Demonstrated ability to translate GTM business objectives into structured analytical requirements, delivery plans, and scalable analytics outputs.
• Strong stakeholder management and communication skills, with experience supporting senior Marketing, Affiliate, or Growth leaders.
• Experience leading, mentoring, and developing analysts in fast-paced, high-expectation environments.
• Comfort operating during US business hours to support real-time GTM decision-making.
• Experience building delivery playbooks, documentation, standards, or operational workflows that improve speed, consistency, and team resilience.

Key skills/competency

• Analytics Delivery
• SQL
• Business Intelligence
• Data Modeling
• Stakeholder Management
• Team Leadership
• AI Analytics
• Data Validation
• GTM Strategy
• Tableau