Business Intelligence Engineer

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. With a focus on streamlining marketing efforts and providing comprehensive solutions, HighLevel helps businesses of all sizes achieve their marketing goals. We currently have 1000+ employees across 15 countries, working remotely as well as in our headquarters, which is located in Dallas, Texas. Our goal as an employer is to maintain a strong company culture, foster creativity and collaboration, and encourage a healthy work-life balance for our employees wherever they call home.

Our Website - https://www.gohighlevel.com/

YouTube Channel - https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g

Blog Post - https://blog.gohighlevel.com/general-atlantic-joins-highlevel/

Our Customers: HighLevel serves a diverse customer base, including over 60K agencies & entrepreneurs and 450K million businesses globally. Our customers range from small and medium-sized businesses to enterprises, spanning various industries and sectors.

Scale at HighLevel: We work at scale; our infrastructure handles around 3 Billion+ API hits & 2 Billion+ message events monthly and over 25M views of customer pages daily. We also handle over 80 Terabytes of data across 5 Databases.

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. You have a deep understanding of data structures, business requirements, and reporting needs, enabling you to design and implement scalable data solutions. Your technical expertise spans data warehousing, pipeline development, and visualization tools, allowing you to empower stakeholders with reliable and efficient data-driven decisions. You thrive in a collaborative environment, take ownership of data governance, and are proactive in identifying opportunities for process automation and optimization.
Key Attributes:Proficient in tools like Redshift, Snowflake, and SQL, with experience in Python and data pipeline development.Analytical mindset with a knack for data modelling and reporting automation.Strong communicator who bridges the gap between technical data structures and business needs.Committed to ensuring data accuracy, sanctity, and usability across the organization.

What you'll be doing:

• Data Mastery and Preparation:

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.

• Data Modelling and Governance:

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.

• Actionable Insights and Stakeholder Empowerment:

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.

• Continuous Improvement:

Collaborate with various pods to interpret business requirements and adapt data solutions accordingly.Identify opportunities to streamline and automate reporting processes for efficiency and scalability.By joining our team, you will play a pivotal role in transforming raw data into meaningful insights, driving business success across the organization.

What you'll bring?

• 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.

EEO Statement:

At HighLevel, we value diversity. In fact, we understand it makes our organization stronger. We are committed to inclusive hiring/promotion practices that evaluate skill sets, abilities and qualifications without regard to any characteristic unrelated to performing the job at the highest level. Our objective is to foster an environment where really talented employees from all walks of life can be their true and whole selves, cherished and welcomed for their differences, while providing awesome service to our clients and learning from one another along the way!