# Senior Business Intelligence Engineer

**Company:** [Current](https://hotfix.jobs/companies/current)
**Location:** New York, NY
**Role:** Data Analytics
**Salary:** $150k – $205k/yr
**Experience:** 5+ years
**Skills:** Looker, Lookml, SQL, dbt, Dimensional Data Modeling, Data Governance, Data Quality, Analytics Engineering, ETL, Business Intelligence
**Posted:** 2026-04-28

> Lead design and scaling of analytics infrastructure, building trusted datasets, Looker dashboards, and self-serve analytics capabilities while partnering with data and business teams.

## Job Description

## 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.

## 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 Have
- Experience defining metric layers or semantic models at scale.
- Exposure to experimentation, funnel, and customer lifecycle analytics.
- Experience modeling data using dbt.
- Familiarity with machine learning techniques and predictive analytics.
- Experience working with Fintech, banks or a B2C company.
- Experience running BI enablement sessions or office hours.

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