Senior Business Intelligence Engineer

Posted 25 Days Ago
Easy Apply
New York, NY
Hybrid
150K-205K Annually
Senior level
Fintech • Mobile • Payments • Software • Financial Services • Cryptocurrency
Our mission is to enable members to change their lives by creating better financial outcomes.
The Role
Lead the design and maintenance of analytics infrastructure, ensuring data quality and governance while enabling self-serve analytics across teams.
Summary Generated by Built In
Senior Business Intelligence Engineer

About Current

Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five 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.

Top Skills

Analytics Platforms
Data Modeling
Dbt
Dimensional Data Modeling
Looker
Lookml
SQL

What the Team is Saying

Brandon
Stephen
Keturah
Alina de Cordoba
Swaroop
Patricia
Brandon
Elijah
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The Company
HQ: New York City, NY
200 Employees
Year Founded: 2015

What We Do

Current is a U.S. based consumer fintech and payments platform with over four million members and a mission to improve financial outcomes. It provides mobile banking services that give its members access to opportunities to improve their financial lives, such as paychecks up to two days early, up to 4% APY, fee-free overdraft, money management tools and insights, fee-free ATMs, no fee crypto trading, a cash back rewards system and family banking.

Why Work With Us

We turn ideas into reality. We're leaders beyond our titles and experience. Focused on our rapid growth, we're a social team with diverse backgrounds and perspectives that celebrates our successes together. At Current, we all make an impact. Above all, we’re committed to our mission and dedicated to being a part of building something great.

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Current Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQNew York, NY
Our modern, open floor plan office is located in the heart of Chelsea with an abundance of bars and restaurants. We are minutes away from various trains and bus stops for a convenient commute.

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