Senior Business Intelligence Engineer

Current•New York City, NY

1d•$150,000 - $205,000

About The Position

We are seeking a Senior Business Intelligence Engineer to lead the design, implementation, scaling and maintenance of our analytics and reporting infrastructure. This role will focus on establishing data governance, building trusted, scalable datasets, implementing frameworks and best practices for metrics and reporting, and enabling high-quality self-serve analytics across the organization. You will partner closely with peers on analytics engineering, data engineering, and business teams to ensure the BI and Analytics ecosystem is reliable, performant, and aligned with business needs.

Requirements

5+ years of experience in Business Intelligence, Analytics Engineering, or data modeling, with hands-on experience building and scaling analytics platforms.
Strong experience with Looker / LookML development, visualization, and administration.
Expert-level SQL skills and a deep understanding of dimensional data modeling and analytics-ready datasets.
Experience partnering with dbt-modeled data and integrating with broader analytics engineering workflows.
Strong understanding of data and BI governance, metric standardization, and self-serve analytics enablement.
Comfortable owning and driving adoption of analytics platforms and data products, balancing immediate business needs with long-term maintainability.
Excellent communication and collaboration skills, able to work effectively with both technical and non-technical stakeholders.

Nice To Haves

Experience with Looker or other business intelligence tools is preferred.
Experience defining metric layers or semantic models at scale.
Exposure to experimentation, funnel, and customer lifecycle analytics.
Exposure to dimensional modeling concepts to power meaningful analytics.
Prior experience running BI enablement sessions or office hours.
Ability to visualize data effectively and communicate insights clearly and concisely.
Experience modeling data using dbt.
Familiarity with machine learning techniques and predictive analytics is a plus.
Experience working with Fintech, banks or a B2C company

Responsibilities

Develop and maintain enterprise-wide dashboards and reports in Looker for business and cross-functional teams.
Ensure data quality, consistency, and governance across all BI and analytics layers.
Collaborate with business stakeholders to translate requirements into scalable analytics solutions.
Optimize BI performance and data warehouse usage for speed, cost efficiency, and scalability.
Define and enforce frameworks and best practices for dashboards, reporting, metric definitions, and data consumption.
Design, build, and maintain core analytics datasets and dimensional data models to support reporting and decision-making.
Build and support experimentation, funnel analysis, and measurement frameworks for key business initiatives.
Mentor analysts and junior BI engineers to strengthen analytics capabilities and best practices.
Conduct Looker office hours and training sessions to drive adoption and enablement.
Enable self-serve analytics by improving data discoverability, documentation, and tooling.
Partner with analytics engineering and data teams to ensure alignment between dbt models, ETL pipelines, and BI consumption.