Current Logo

Current

Senior Business Intelligence Engineer

Sorry, this job was removed at 02:14 p.m. (EST) on Friday, Sep 11, 2026
Easy Apply
Hybrid
New York, NY, USA
150K-205K Annually
Senior level
Easy Apply
Hybrid
New York, NY, USA
150K-205K Annually
Senior level

Similar Jobs at Current

2 Days Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
130K-175K Annually
Mid level
130K-175K Annually
Mid level
Fintech • Mobile • Payments • Software • Financial Services • Cryptocurrency
Analyzes payments and banking data to identify trends, improve products, and enhance operational efficiency. Builds dashboards, conducts deep-dive and experimental analyses, monitors customer behavior, and delivers actionable insights to stakeholders. Partners with product managers, engineers, and leadership to define success metrics, ensure data quality, support fraud response, and improve analytics processes.
Top Skills: BigQueryDbtLookerPythonRedshiftSnowflakeSQLTableau
5 Days Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
135K-172K Annually
Senior level
135K-172K Annually
Senior level
Fintech • Mobile • Payments • Software • Financial Services • Cryptocurrency
Own and scale the design system across foundational tokens, components, documentation, accessibility standards, and adoption. Partner with engineering to align Figma and product implementations, audit product surfaces, and lead consolidation. Also own end-to-end UX for a primary banking workflow, collaborate with product managers, and provide feedback to product designers.
Top Skills: Claude CodeCursorFigmaFigma Code ConnectJetpack ComposeMcpStyle DictionarySwiftuiToken StudioWcag
7 Days Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
130K-175K Annually
Mid level
130K-175K Annually
Mid level
Fintech • Mobile • Payments • Software • Financial Services • Cryptocurrency
Own marketing and acquisition reporting, analytics, attribution, audience segmentation, experimentation, KPI development, and dashboarding. Build validated datasets and modular Looker models, partner with data engineers on analytics infrastructure, standardize metrics, and deliver actionable insights. The role also promotes advanced analytical techniques, supports marketing strategy, and trains stakeholders on BI best practices.
Top Skills: Amazon RedshiftBigQueryDbtLookerPythonSnowflakeSQLTableau
Lead the design and maintenance of analytics infrastructure, ensuring data quality and governance while enabling self-serve analytics across teams.
The summary above was generated by AI
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
HQ

Current New York, New York, USA Office

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.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account