Business Intelligence Developer

About the Opportunity:

We’re looking for a data-savvy professional who thrives at the intersection of technology, analytics, and business strategy. In this role, you’ll transform large datasets into meaningful insights that drive decision-making across the company. Using modern tools like Snowflake, dbt, and Looker, you’ll help shape a data culture that turns information into impact.

What You’ll Do:

• Partner closely with data engineers and scientists to build scalable, insight-driven solutions for business teams.
• Design and maintain clean, reliable datasets that power advanced analytics, reporting, and machine learning models.
• Write maintainable, well-documented analytics code that adheres to engineering best practices.
• Ensure data models and definitions are consistent, clear, and accessible across the business.
• Enable and train business users on how to explore data and leverage visualization tools effectively.
• Translate business needs into well-structured data models and define KPIs that align with strategic goals.
• Develop high-quality code for analytical pipelines and support performance in high-scale data environments.

What You Bring:

• Proficiency with modern data stack tools such as Snowflake, dbt, and Looker.
• Proven success turning complex data into actionable insights that influence business outcomes.
• Comfortable working with large-scale datasets (millions of daily records).
• Experience with API-driven data integrations, especially for marketing and sales workflows.
• Strong communication skills with the ability to explain technical concepts to non-technical audiences.
• A proactive, team-oriented attitude with a knack for solving problems creatively.

Qualifications:

• Degree in a technical or quantitative discipline (e.g., Computer Science, Statistics, Information Systems, Business Analytics).
• 4+ years of experience in a data-focused role (e.g., analyst, data engineer, data scientist).
• At least 3 years of experience building dashboards and reports with visualization tools.
• 2+ years managing evolving data models or analytics infrastructure.
• Solid experience with marketing and sales datasets and tools.
• Quick to learn new platforms and capable of ensuring data consistency across systems.

Bonus Points For:

• Familiarity with customer data platforms or tools like Segment.
• Hands-on experience using R, Python, and SQL for data analysis.
• Collaborative working style with excellent cross-functional communication skills.