senior data analyst · analytics engineer
$10M+ in quantified business impact across Zendesk's Enterprise Data & Analytics team — predictive dashboards, a cloud migration, and production dbt models behind real revenue moves. Four years at Zendesk; SQL and dbt through to Tableau and Looker.
about
I'm a data analyst and analytics engineer with 5+ years in B2B SaaS. Most recently I worked across Zendesk's go-to-market, finance, product, and customer success teams — building the predictive dashboards leaders ran on, leading a GCP → Snowflake migration, and shipping the dbt models behind pricing and consumption launches.
Across that work I owned and maintained a large dbt model suite spanning the full analytics platform — writing heavily in SQL and LookML, building in Tableau and Looker, and partnering directly with stakeholders across Finance, GTM, Product, and Customer Success.
The part I care about most is where a number actually changes what someone decides to do.
selected work
Each one shipped to production and moved a number leadership cared about. Tools listed are what I actually built with.
Built and maintained Bullseye, the predictive dashboard sales ran on daily — plus the large dbt model suite behind it (foundational, intermediate, and mart layers) that I owned in Snowflake after the migration, and the Looker and Tableau delivery on top.
RESULT → AE win rates 50% → 80% on targeted accounts; fed the GTM metric framework tied to the company's $200M revenue initiativeLed the analytics side of the GCP → Snowflake migration: re-architected the SQL layer, designed a new dbt modeling layer (staging → intermediate → mart) from scratch, and rebuilt 40+ Tableau dashboards with zero reporting downtime.
RESULT → 35% query-performance improvement; the new dbt layer became the team's standard modeling patternBuilt a multi-scenario financial model in Python and Snowflake — analyzing price elasticity and retention across conservative, base, and aggressive cases — giving Finance and GTM leadership the confidence to raise prices for the first time in seven years.
RESULT → $4.5M revenue uplift, validated against actual Q1 resultsBuilt the full analytics layer for new consumption products (Actions, Copilot, Pine) from scratch in a two-week sprint — 6 production dbt models (current and historical consumption marts) future-proofed for new SKUs.
RESULT → Board-level launch visibility into consumption for product & financeThe team's Tableau/Looker usage data was unreliable, and leadership was making tooling and licensing calls on it. I rebuilt the pipeline end-to-end in Snowflake with dbt tests and ongoing monitoring — turning a broken one-off into a trusted, maintained data product.
RESULT → restored executive confidence in BI adoption reportingBuilt dashboards giving leadership prescriptive views of churn, satisfaction, and product engagement — surfacing attrition risk and expansion signals across the customer base.
RESULT → ~$1M revenue expansionBuilt an AI-powered Slack bot for our highest-volume BI support channel that answered the team's recurring BI-tool and data questions and triaged repetitive requests — freeing analysts for strategic work.
RESULT → saved the analytics team sprint time on repetitive supportexperience
toolkit
education
Duquesne University · 3.9 GPA
Lee University
dbt Labs · Analytics Engineering Certification in progress
get in touch
I'm looking for my next data analyst or analytics engineer role — remote or hybrid. I hold an H1B visa and am open to transfer sponsorship. If you're hiring or can make an intro, I'd love to hear from you.