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Senior 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!

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CEO of highlevel
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Average salary estimate

$115000 / YEARLY (est.)
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$100000K
$130000K

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What You Should Know About Senior Business Intelligence Engineer, highlevel

Are you ready to take on a pivotal role as a Senior Business Intelligence Engineer at HighLevel? Based in Delhi and fully remote, you'll be joining a dynamic team that prides itself on fostering collaboration and creativity across the globe. HighLevel is a leading cloud-based marketing and sales platform for businesses of all sizes, providing comprehensive solutions that help elevate digital marketing efforts. As a Senior Business Intelligence Engineer, you'll design and manage high-performance data pipelines, ensuring our data infrastructure is both scalable and efficient. You’ll utilize your expertise with tools like Redshift and Snowflake, along with your advanced SQL skills, to turn complex data sets into actionable insights that drive our marketing strategies. Your analytical mindset will thrive as you lead data modeling initiatives and empower stakeholders to make informed decisions through compelling reports and dashboards. You will play a crucial role in our mission to deliver reliable data solutions that guide our customers—spanning over 450,000 businesses globally. With a commitment to continuous improvement and data governance, you’ll ensure data integrity and usability across the organization. Join us at HighLevel, where your technical skills and creativity will make a difference, helping us maintain our strong company culture while promoting work-life balance. You'll be part of a dedicated community that values diversity and encourages your unique contributions. Let’s transform raw data into powerful insights together!

Frequently Asked Questions (FAQs) for Senior Business Intelligence Engineer Role at highlevel
What qualifications do I need to apply for the Senior Business Intelligence Engineer position at HighLevel?

To apply for the Senior Business Intelligence Engineer position at HighLevel, you should possess a minimum of 7 years of experience in business intelligence or related fields, coupled with advanced SQL expertise. Proficiency in data modeling, ETL processes, and data visualization tools like Tableau is essential. Additionally, strong programming skills in languages such as Python or Java will be beneficial.

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What does the day-to-day work look like for a Senior Business Intelligence Engineer at HighLevel?

As a Senior Business Intelligence Engineer at HighLevel, your daily work will involve designing and managing scalable data pipelines, optimizing complex data processing jobs, and creating insightful reports and dashboards for various stakeholders. You will collaborate with different teams to analyze data needs and drive innovative solutions, while also conducting data cleansing to ensure integrity and readiness for reporting.

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What tools and technologies will I use as a Senior Business Intelligence Engineer at HighLevel?

In the Senior Business Intelligence Engineer role at HighLevel, you will leverage technologies such as Redshift, Snowflake, and SQL for data management. You'll also work with Python for data processing, utilize ETL frameworks, and develop dashboards using visualization tools like Tableau to present your findings effectively.

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How does HighLevel support professional development for Senior Business Intelligence Engineers?

HighLevel values the personal and professional growth of its employees, including Senior Business Intelligence Engineers. We offer access to training programs, resources, and opportunities for mentorship. Our flexible remote working culture also allows for continued learning through self-paced initiatives and collaborations with talented colleagues.

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What is the work culture like at HighLevel for a Senior Business Intelligence Engineer?

The culture at HighLevel is one that fosters creativity, collaboration, and growth. As a Senior Business Intelligence Engineer, you'll work in a supportive environment that emphasizes work-life balance and encourages diverse perspectives. We're committed to maintaining a strong company culture that thrives on innovation and ensuring that our employees feel valued and included.

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What kind of impact can I make as a Senior Business Intelligence Engineer at HighLevel?

As a Senior Business Intelligence Engineer at HighLevel, you'll have a significant impact on the organization by transforming raw data into meaningful insights that inform business decisions. Your contributions will empower stakeholders across different departments to utilize data effectively, driving marketing strategies and improving operational efficiencies for our diverse client base.

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What types of projects can I expect to work on as a Senior Business Intelligence Engineer at HighLevel?

In the Senior Business Intelligence Engineer role at HighLevel, you can expect to work on a variety of projects such as building and optimizing data pipelines, creating complex data models, and developing automated reports. You may also lead initiatives for data governance and champion the use of data-driven decision-making throughout the organization.

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Common Interview Questions for Senior Business Intelligence Engineer
Can you describe your experience with SQL and how you've used it in past projects?

In your answer, highlight your advanced SQL skills, mentioning specific projects where you've optimized complex queries or transformed large data sets for reporting. Discuss any performance improvements you achieved and how your SQL expertise contributed to the success of those projects.

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What strategies do you use for ensuring data integrity and accuracy?

Answer by detailing your approach to data cleansing, validation practices, and testing methodologies. Mention any tools or processes you've implemented to maintain high data quality and reliability, and provide examples of how these strategies have positively impacted your previous work.

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How do you prioritize tasks when handling multiple data requests from stakeholders?

Discuss your organizational skills and your method for assessing the priority of tasks based on business impact and urgency. Provide examples of how you've effectively managed competing needs and delivered on time without sacrificing quality.

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What is your experience with data visualization tools, specifically Tableau?

Share specific examples of how you’ve used Tableau to create dashboards. Discuss the key insights your visualizations provided and how they helped stakeholders make informed decisions. Emphasize your understanding of best practices in data visualization.

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Can you discuss a challenging data problem you encountered and how you resolved it?

Provide a detailed example of a complex data challenge you faced, the analytical methods you used to approach the problem, and the outcome of your resolution. Highlight your critical thinking and problem-solving skills in overcoming this hurdle.

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How do you stay updated with the latest trends and technologies in Business Intelligence?

Talk about resources you utilize such as blogs, online courses, webinars, or professional networks. Mention any specific communities you engage with or how you apply new insights to enhance your work in BI.

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Describe your experience with cloud-based data solutions.

Elaborate on any cloud platforms you've worked with, such as Snowflake or Redshift. Discuss how you’ve utilized these solutions in past projects to promote scalability and efficiency in your data architecture.

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What methods do you use to communicate complex data findings to non-technical stakeholders?

Highlight your ability to simplify complex technical terms into relatable concepts. Provide examples of how you've effectively communicated insights through storytelling techniques or straightforward presentations that resonate well with your audience.

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Can you provide an example of implementing data governance in your previous roles?

Explain how you approach data governance, mentioning specific frameworks or policies you've established. Illustrate how these practices improved data management within the organization and assured stakeholders of data accuracy.

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What do you consider the most important qualities for a Senior Business Intelligence Engineer?

Discuss qualities such as attention to detail, a strong analytical mindset, and exceptional communication skills. Explain why these attributes are crucial for success in a data-driven role, using examples from your experience.

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Full-time, remote
DATE POSTED
November 28, 2024

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