Senior Business Intelligence Engineer

November 29, 2024

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HighLevel

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.

SaaS • Marketing • Advertising • CRM

201 - 500 employees

Founded 2018

☁️ SaaS

🤝 B2B

💰 Series A on 2021-11

📋 Description

• Position: Sr. Business Intelligence Engineer • Reports To: Senior Manager, Business Intelligence • Shift Timing: 3PM – 12AM IST • This role is 100% remote. • About HighLevel: HighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. • Who You Are: As a Sr.BI Engineer, you are a detail-oriented problem solver with a passion for turning complex data into actionable insights. • Key Attributes: Proficient in tools like Redshift, Snowflake, and SQL, with experience in Python and data pipeline development.

🎯 Requirements

• Minimum 7 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.

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