Senior Manager – Analytics Engineering

🔥 12 hours ago

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HighLevel

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

☁️ SaaS

🤝 B2B

💰 Series A on 2021-11

SaaS • Marketing • B2B

HighLevel is an all-in-one marketing and sales platform designed to help businesses grow and succeed. The platform consolidates various marketing tools into a single solution, providing features such as lead capture through landing pages, surveys, forms, and calendars, as well as tools for nurturing leads via automated messaging across multiple channels including phone, SMS, email, and social media. HighLevel offers customizable solutions like online appointment scheduling, multi-channel follow-up campaigns, and pipeline management. Additionally, businesses can build websites, funnels, and landing pages using the intuitive page builder. HighLevel supports integrating with existing systems via API, and offers a membership platform for community building and course management. The platform is targeted towards marketers and offers white-labeling options for businesses to brand the software as their own. With a community-driven development approach and award-winning support, HighLevel is focused on empowering businesses to streamline their operations and enhance their marketing efficiencies.

📋 Description

• Lead the team responsible for building the trusted data foundation that powers decision-making across the company. • Oversee a team of analytics engineers who transform raw data into scalable, reliable, and well-governed data models. • Partner closely with Engineering, Product, Data Science, Finance, Marketing, Sales, Customer Success, and Executive Leadership to define our data strategy. • Balance technical excellence with business impact, helping the organization become increasingly data-driven while building a high-performing and inclusive team.

🎯 Requirements

• 11+ years of experience in analytics engineering, business intelligence, data engineering, or related fields • 3+ years managing high-performing technical teams, growing and developing people • Deep expertise with SQL and modern analytics engineering practices • Experience building analytics platforms using DBT, Snowflake, Airflow or similar orchestration tools • Familiarity with Git and CI/CD workflows and BI platforms • Strong understanding of dimensional modeling, semantic layers, and data warehousing concepts • Experience defining data governance, testing, and data quality frameworks • Excellent stakeholder management and communication skills • Demonstrated ability to influence technical strategy across multiple organizations

🏖️ Benefits

• We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. • Excellent stakeholder management and communication skills