FullStack Analytics provides data engineering, data science, and analytics consulting that helps companies make better decisions faster.

We believe that in order to deliver truly actionable insights from data, one team should own the complete flow of data - from the initial customer touchpoint through to a business-case, dashboard, or model. This is the FullStack Philosophy. We build each stage of your data pipeline with your analytical and business needs front-and-center and use state-of-the-art tools and methodologies to increase business results through higher quality decisions.

How we Can help

  • Increase website traffic and repeat purchases through marketing optimization
  • Increase conversion rate through funnel analysis and implementation of controlled experiments
  • Increase return-on-investment in new products and opportunities through modeling and forecasting
  • Increase average order size through cross-selling and product recommendations
  • Save money on third-party measurement and data collection tools by bringing systems in-house
  • Decrease confusion across teams and time-wasted reconciling numbers through standardization of metrics and reports
  • Decrease reaction time through real-time dashboards, reporting, and alerting
  • Increase the time your analysts spend on high-value work by decreasing time spent on reporting and information retrieval
  • Allow non-technical domain experts to explore data and discover insights through self service tooling

We provide services that span the "full stack" of data engineering, data science, and analytics to companies of all sizes and industries. We specialize in eCommerce and technology companies based in New York City and New Jersey.


  • A/B testing and conversion rate optimization
  • Customer cohort analysis
  • Click-stream and funnel analysis
  • Opportunity and scenario analysis
  • Build and implement customer liftetime (LTV/CLV) models
  • Marketing spend and bidding optimization
  • Implement product recommendation and personlization systems
  • Build complete business and financial forecasting models
  • Automate accounting reconciliations and checks

Data Engineering Services

  • Build end-to-end data pipelines including streaming data ingestion services
  • Deploy interactive low-latency query systems
  • Implement self-service business intelligence tools
  • Build custom business dashboards
  • Deploy resources to your cloud including Amazon Web Services (AWS), Microsoft Azure, and Rackspace Openstack

We treat data quality as a first-class product and follow engineering best practices such as Continuous Integration, use Git for source control, and aggressively unit-test our code.

We focus on a small set of production-tested open-source software including Apache Hadoop HDFS, Apache Spark, Apache Kafka, Presto, Apache Cassandra, D3, and Looker.


The Team

We are a small and agile team of those rare individuals who have deep experience in all aspect of data and internet businesses. We're as comfortable in a terminal as we are in the board room. We bridge the gap between the technical and business teams, break down silos, and evangelize the use of data throughout organizations.

Nick Amabile - Principal

Nick has worked in data and analytics at four eCommerce companies including at Jet.com during hyper-growth, at Etsy through their IPO, and at Omaze as their first employee. Before that, he worked at NERA Economic Consulting where he assisted in econometric analysis and statistical programming in anti-trust litigation for Fortune 500 companies. Nick loves music and was the music librarian and a DJ at WMUC 88.1 FM while attending the University of Maryland.

Matt Schmohl - Principal

Matt has worked with information technology in varying capacities since graduating Cornell Engineering. He was the first on-shore analyst in Accenture’s Customer Analytics practice, where he led statistical programming efforts on large datasets from telecommunication devices. Later he established the Analytics program at Offerpop, munged data at Etsy, and scribbled lots of code as senior software engineer at Jet.com. Matt enjoys functional programming, motorcycle restoration, and Brooklyn’s intrepid music scene.

Interested in increasing revenue and delighting customers by unlocking the power of your data?

Send Us a Note

Fullstack Analytics

81 Prospect St

Brooklyn, NY 11201