BI Engineer

October 29

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HighLevel

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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.

201 - 500 employees

Founded 2018

☁️ SaaS

🤝 B2B

💰 Series A on 2021-11

📋 Description

• Design and manage scalable, high-performance data pipelines and data warehouse tables. • Develop and optimize moderately to highly complex data processing jobs using SQL, Mozart, Snowflake, and Python. • Lead data cleansing efforts to ensure reporting readiness and data integrity. • Define and implement efficient data models to support regular and ad-hoc reporting needs. • Test and validate data rigorously to ensure accuracy and reliability. • Own and promote data cataloging and governance initiatives for secure, democratized data access. • Analyze and visualize data to deliver actionable recommendations tailored to stakeholder requirements. • Create and distribute reports and dashboards on a scheduled and ad-hoc basis. • Provide training to end users, enabling self-serve analytics and empowering them to make data-driven decisions. • Identify opportunities to streamline and automate reporting processes for efficiency and scalability.

🎯 Requirements

• Minimum 5 years of experience in business intelligence, data engineering, analytics, or a related field. • Advanced SQL expertise with experience handling complex queries and data transformations. • Strong knowledge of engineering and operations best practices, including version control, data quality assurance, testing, and monitoring. • Data modeling expertise with experience in ETL, Data Warehousing, and Data Lakes. • Data visualization skills using Tableau to create compelling dashboards and reports. • Programming proficiency in one or more languages (e.g., Python, Java) for data processing and analysis. • Basic knowledge of statistical measures and techniques. • Exceptional communication and collaboration skills, with the ability to communicate complex technical information to less technically sophisticated stakeholders and data professionals.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities