Looking for a job

Jason Laso

@jasonlaso

I build trusted analytics systems and KPI models for fintech and SaaS.

I've owned production analytics systems at Fathom and Human Interest, building dbt transformation layers, data models, and KPI frameworks for product, finance, and executive reporting. At Human Interest, I supported lifecycle reporting across 800K+ accounts and approximately $6B in deposits.

I build reliable SQL-based datasets in Snowflake and BigQuery, investigate data quality issues, and turn funnel, revenue, and risk data into trusted reporting. My work has included diagnosing over 1 million unreconciled transactions and identifying the source of a $2M client email performance drop.

Experience

Work history, roles, and key accomplishments

Senior Data Analyst

Fathom

Jul 2025 - Dec 2025 (5 months)

Owned analytics transformation layer in dbt and BigQuery supporting product reporting across customer onboarding and lifecycle funnels. Designed and optimized dbt models sourced from new revenue software and created trusted downstream data marts for MRR reporting.

DBT BigQuery SQL Data Modeling Funnel Analysis Chartmogul

Senior Data Analyst

Human Interest

Feb 2022 - Jul 2025 (3 years 5 months)

Owned the core lifecycle analytics layer powering reporting across 800K+ accounts and ~$6B in deposits, serving as the primary source of truth for AUM, cash movement, and executive financial reporting. Designed and maintained production dbt transformation models in Snowflake that standardized metrics across product and risk reporting.

DBT Snowflake SQL Data Modeling KPI Design Executive Reporting Risk Analytics

Data Analyst

TrueAccord

Feb 2021 - Feb 2022 (1 year)

Owned large-scale behavioral analytics datasets across 25M+ customers and 1B+ engagement events in Snowflake supporting revenue and product analytics. Built KPI datasets for engagement and revenue tracking across multiple product lines enabling consistent reporting and trend analysis.

Snowflake SQL KPI Design Data Validation Anomaly Detection Root Cause Analysis

Senior Quantitative Analyst

Dynasty Sports & Entertainment

Jan 2019 - Feb 2021 (2 years 1 month)

Built statistical simulation models in R to forecast professional sports outcomes and model ticket valuations up to $30M. Supported risk hedging strategies with quantitative analysis, directly informing pricing decisions for high-value events.

R SQL Power BI Statistical Modeling Risk Analysis Pricing Strategy