I help founders and operators of $3M–$30M companies turn the data they already have into decisions that grow revenue — without the $250K salary of a full-time data executive.
"I spent 25 years in ad sales learning how money moves through businesses. Then I taught myself to build the systems that explain why it moves. Most data people have never carried a quota. I have."
— Joe MaloneEvery engagement is measured in dollars, not deliverables. Toggle above to see the technical detail behind each result.
The company was choosing suppliers the same way it always had — relationships and habit. We replaced that with a scoring system built on 50,000 past decisions. $25 million stayed in the company instead of going to the wrong vendors.
Built a probabilistic vendor scoring matrix analyzing 50,000+ historical procurement records across cost, quality, and delivery variables using Python. Deployed enterprise-wide via automated ETL pipeline to 200+ users across frontline and C-suite. Reduced procurement variance by measurable margin quarter-over-quarter.
Finance was guessing next quarter's revenue based on last year's numbers and instinct. We built a system that pulls 15 live data sources every morning and produces a forecast accurate to within 5%. Budget conversations changed overnight.
Engineered automated forecasting engine processing 15+ daily data feeds from data warehouse, ERP, and market sources via Python ETL pipelines. Achieved 95% prediction accuracy with 30% reduction in forecast variance. Integrated Power BI executive dashboard with role-based access for 200+ users.
The company only knew a customer was at risk after they'd already gone quiet. We built an early warning system that flags at-risk accounts 60 days before they leave. The sales team started calling them first. Retention went up 15%.
Implemented ML churn prediction model using behavioral transaction features with scikit-learn, achieving 88% classification accuracy via cross-validated precision-recall optimization. Integrated output as automated weekly CRM alert pipeline enabling proactive account intervention at scale.
Industry matters less than stage. If you're running a real business and your data isn't working as hard as you are — we should talk.
The common thread: you have customer data, transaction data, and marketing spend — and no one has connected them to a revenue decision you can act on.
Three ways to engage. Each priced against the real alternative — a full-time hire at $150K–$250K you're not ready to make.
Not sure where to start? Start here.
We spend two weeks mapping your data landscape, finding where the revenue is hiding, and building a 90-day roadmap. You walk away with a clear plan — whether you hire me to execute it or not.
Two-week data architecture assessment covering source system inventory, pipeline integrity evaluation, analytical coverage gap analysis, and revenue attribution blind spot identification. Deliverable: executive data strategy memo and prioritized 90-day technical roadmap.
A $200K executive at $8K/month. No benefits, no equity, no long-term commitment.
I work inside your business two days a week — building systems, making your data trustworthy, and translating what it says into decisions your leadership can act on. Think of it as renting a CDO without the hiring risk.
Embedded senior data leadership at 2 days/week. Engagement scope covers data strategy and governance, ETL pipeline architecture and deployment, ML model development and productionization, KPI dashboard build, and weekly executive analytics briefing. Stack: Python, SQL, scikit-learn, Power BI, AWS.
A specific problem. A specific solution.
You know what you need built. A system that predicts which customers are leaving. A dashboard your CFO will actually open. A pipeline that stops breaking every month. Define the outcome — I'll build it.
Scoped technical delivery against fixed SOW with milestone-based delivery. Capabilities: churn and LTV predictive modeling, revenue and demand forecasting engines, ETL pipeline architecture, data warehouse design and build, customer segmentation, attribution and marketing mix analytics, Power BI dashboard development.
I spent 25 years in ad sales — managing millions in annual revenue across entertainment, automotive, and ecommerce — before teaching myself Python and SQL to build the systems I used to just read the outputs of.
That path makes me different. Most data people have never carried a quota or defended a revenue number in front of a CFO. Most salespeople can't build a machine learning model. The executives who get the most from their data are the ones whose data leader can sit in both rooms.
I've generated $25M+ in procurement savings, built forecasting engines accurate to 95%, and deployed systems that improved customer retention by 15%. I've also founded companies, managed P&Ls, and made payroll. I understand what data needs to do inside a real business — not just inside a dashboard.
I work with a small number of companies at any given time. Not because I have to — because the work is better that way. If you're a founder or operator who knows their data should be doing more, let's spend 30 minutes on it.
joe@getjoemalone.comTell me what you're trying to figure out. I'll tell you honestly whether I can help — and if I can't, I'll point you to who can.
Or reach out at joe@getjoemalone.com — response within 24 hours.