Job description

Senior Business Intelligence Engineer About Current Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes. About the Role 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. 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. About You 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 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 This role has a base salary range of $150,000 - $205,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary Meaningful equity in the form of stock options 401(k) plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Flexible time off and paid holidays Generous parental leave policy Commuter benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern NYC based office with open floor plan, stocked kitchen, and catered lunches

Requirements

Must-haves

Senior Business Intelligence Engineer
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.
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.

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlmachine learning

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave