Data Analyst / Product Analytics, BI & Business Systems · Remote (US)

Data that
drives
decisions.

8 years building the analytics infrastructure, pipelines, and product insights that help teams move faster and grow smarter. From warehouse architecture to governed executive reporting to the teams that run on it, I own the full data lifecycle.

SQL & Python Snowflake & dbt Product Analytics Power BI (DAX) & Tableau AWS & Redshift Mixpanel & HubSpot
5x
First-Year Adoption Lift After Strategy Pivot
800+
Accounts Caught by Fraud Model
8
Years Experience
1000s
Annual Hours Saved via ETL
About

I turn raw data into
things that matter.

I'm a data analyst based in Tulsa, Oklahoma, with 8 years of experience building the analytics systems that product, marketing, and revenue teams rely on every day.

My work spans the full data lifecycle: architecting ETL pipelines, building executive dashboards, launching product analytics platforms across mobile app and desktop, and connecting disparate data sources into clean, reliable infrastructure.

I've done most of this work in veterinary health data — across Clinicians Brief, Plumb's (a veterinary drug-reference product), and Standards of Care (clinical practice-standards content) — supporting both B2B and B2C analytics across enterprise clients and individual end users. This includes subscription funnel analysis, abandon rate tracking, and marketing site analytics across mobile app and desktop experiences. I'm comfortable owning data strategy end-to-end and translating complex findings into decisions non-technical stakeholders can act on.

Outside of data, I have a serious interest in film and the humanities, and I think the best analysts are people who can tell a story, not just build a query.

Read the full story →

Languages
SQL MySQL Python dbt API Integration Git Bash Scripting
Cloud & Data
AWS Redshift ETL Pipelines Oracle Snowflake dbt Fivetran Data Warehousing Data Modeling Data Governance Microsoft Copilot
Analytics
Mixpanel Klipfolio Tableau Power BI (DAX) Amplitude Google Analytics A/B Testing Funnel Analysis Subscription Analytics Abandon Rate Analysis App Analytics Claude Claude Code
CRM & Product
HubSpot Salesforce Appcues Omeda Product Analytics User Segmentation B2B & B2C Analytics Google Tag Manager
Selected Work

Projects that moved
the needle.

02
Student Segment Strategy Pivot

Surfaced a behavioral insight showing that established professionals in the vertical were unlikely to switch tools, and made the strategic case for shifting go-to-market toward students and early-career users whose workflows were still forming. The company acted on the recommendation, launched a campus partnership program, and adoption grew 5x in the first year.

5x first-year adoption growth after the pivot
Behavioral signal validated against churn data
Directly informed a company-wide go-to-market shift
Delivered across Mixpanel, HubSpot, and Power BI
03
Mixpanel Platform Launch

Led end-to-end implementation of Mixpanel across the core product at VetMedux. Built the event taxonomy, instrumentation plan, and dashboards now used daily by Sales, Marketing, Executive, and Product teams.

Cross-org product intelligence platform
Event taxonomy and full instrumentation plan built from scratch
Used daily across Sales, Marketing, Product, and Executive
04
Multi-Source Data Integration

Architected automated data connection flows between Omeda, Salesforce, and internal SQL databases. Eliminated manual reconciliation and created a single reliable source of truth for audience and CRM data.

Unified cross-platform data layer
Eliminated manual data reconciliation across three systems
05
Subscription Funnel & Campaign Analytics

Built end-to-end campaign and subscription analytics covering paid media reporting, abandon rate tracking, marketing site performance, and Google Tag Manager instrumentation. Connected Google Ads and HubSpot data to product outcomes to surface conversion opportunities across the full funnel.

Full-funnel visibility from ad click to product activation
Abandon rate analysis informed retention strategy
GTM pixel setup and conversion tracking across channels
Case Studies

Three case studies. Different domains, same craft.

Awards Predictability Analysis

Which Awards Show Best
Predicts the Oscar?

Built a custom relational database spanning 7 major awards shows and 2,400+ nomination records to analyze the predictive relationship between each ceremony and the Academy Award for Best Picture. Includes interactive visualizations and individual deep dives for each show.

PGA leads all shows at 70% all-time accuracy
GG Drama has declined to 27% since 2015
7 shows analyzed across 83 years of data
View Case Study →
70%
PGA All-Time
83
Years of Data
7
Shows Analyzed
2,400+
Records
5x
Adoption Lift
3
Teams Aligned
7
Activation Steps Instrumented
1
Shared Definition of Success
Product Adoption Framework

From Fragmented Guesswork
to a Unified Metric

A walkthrough of the product analytics work that transformed how a B2B SaaS company understood its users. Segmented a broken activation funnel, identified the highest-leverage drop-off, and built an activation framework that aligned Product, Marketing, and Executive teams on one shared metric.

First-year adoption grew 5x after the strategic pivot
Mobile profile-completion fix was the largest driver
Small accounts, previously underserved, lifted meaningfully
View Case Study →
A/B Testing / Self-Directed

Why an A/B Test
Can Fail Silently

A self-directed case study applying formal experimental design, power analysis, and significance testing to a public e-commerce A/B test dataset, built to sharpen statistical rigor alongside my product analytics work.

290,584 users analyzed after data validation
Test was underpowered by roughly half for its target effect
Distinguishes statistical from practical significance
View Case Study →
290k+
Users Analyzed
p=0.19
Not Significant
289k
Sample Size Required
50%
Of Required Power
Experience

Where I've done
this work.

Instinct Science
2018 - 2026
formerly VetMedux
(acquired by Instinct, 2024)
Data Analyst, Decision Support 2025 - 2026
  • Designed a fuzzy-logic identity-resolution system assigning universal IDs across 5,000+ clinics and 200,000+ veterinarians, reconciling records across systems at ~70% match accuracy.
  • Built and maintained 3 daily ETL pipelines (40,000+ Recurly accounts, a Mixpanel-to-HubSpot cart feed, a Redshift-to-HubSpot feature-flag sync for 50+ clients) with automated monitoring and alerting; recovered a live sync after an unannounced upstream schema change.
  • Led sensitive external data-matching work via a client-owned S3 bucket, processing ~100GB of identity data under least-privilege scoping and a formal destruction protocol.
  • Authored data governance, quality, and cleanliness standards for AWS-hosted datasets, adopted as shared reference documentation across product and data teams.
  • Led an end-to-end Lead-to-Churn audit (15 stages, 5 departments), presenting findings directly to the VP of RevOps and CFO.
Product Analytics Manager 2022 - 2025
  • Solo-built a Snowflake warehouse from the ground up (30 source systems via Fivetran/Python into 80 raw tables) and 25 dbt models that became the daily reporting backbone for 8 teams.
  • Layered Power BI reporting with DAX-based calculated metrics on top to deliver 5 executive and board-level dashboards spanning 200+ reports.
  • Managed a team of 3 analysts (2 media/subscriber, 1 data scientist), owning performance and reviewing output across 5 monthly and 2 weekly dashboards.
  • Designed a company-level Mixpanel ID architecture across 200+ events, making reporting ~80% self-serve for CX and Sales across 300+ accounts and cutting response time from 3 days to ~92 minutes.
  • Made the data-backed case for a go-to-market pivot toward students; first-year adoption grew 5x. Built fraud-flagging logic that surfaced 800+ shared-login accounts, driving $10K+ in annual incremental revenue.
  • Built a B2C customer health-scoring system, using Claude as an analytical partner to model churn, upgrade, and downgrade risk across 30,000+ accounts, deriving tiered thresholds synced into Mixpanel and HubSpot.
  • Led a cross-functional audit evaluating Mixpanel against Heap post-acquisition, recommending against consolidation since each tool best served a different product line.
Audience Analyst 2018 - 2022
  • Joined as the company's first data hire and built the analytics function from scratch across three veterinary clinical products — Clinicians Brief, Plumb's, and Standards of Care — reporting directly to the COO in year one.
  • Owned governance and deduplication for a 300,000+ record Omeda audience database, cutting client-list turnaround from 3 days to about 1.
  • Unified GA4 and Google Tag Manager instrumentation (200+ events, ~30 properties), delivering the company's first cross-property attribution, then built the UTM standard that fixed the resulting tracking gap.
  • Rolled out GDPR notice and consent handling site-wide, presenting formally to Legal and the COO; later built into new-hire onboarding.
  • Contributed directly to a data-driven revenue stream exceeding $2 million in its first year, combining media-client list sales, third-party ad trafficking through AdRoll, and coupon-driven promotional reporting.

Daily user of Claude and Claude Code throughout this tenure — from ETL exception handling to modeling B2C churn risk to drafting the SQL behind most of the dashboards above.

Let's build something worth measuring.

Open to full-time roles in product analytics, business intelligence, business systems, and revenue operations. Also available for consulting engagements in SaaS and marketing data.