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In today’s data-driven world, the ability to make informed decisions quickly is what separates good businesses from great ones. As a freelance Business Analyst, Greg Kutzin has been helping organisations do just that—by combining the power of SQL and Python with practical business insight. Based in New Jersey and consulting since 2022, Greg shares his approach to using these tools to turn raw data into meaningful strategy.
For Greg Kutzin, data tools aren’t just technical skills—they’re enablers of smarter thinking.
“SQL is the language of structured data, and Python is the bridge between automation and insight,” he explains. Together, they give businesses the ability to retrieve, analyse, and visualise data with precision and speed.
While many organisations store massive amounts of valuable data in relational databases, that information is often underutilised. SQL allows Greg to extract exactly what’s needed—from sales performance to inventory turnover—without relying on manual reports or third-party tools.
Python, on the other hand, adds automation, logic, and advanced analytics. Whether it’s cleaning messy datasets, running predictive models, or building custom dashboards, Greg uses Python to move beyond simple metrics and uncover trends that matter.
Greg recently supported a mid-sized e-commerce company struggling with inconsistent sales forecasts and delayed reporting. Their marketing and inventory teams weren’t aligned, and decisions were being made on outdated Excel sheets.
Using SQL, Greg tapped directly into their database and built a reusable query to fetch real-time order data, segmented by product, region, and time frame. He then wrote a Python script to clean and structure the data, flag anomalies, and calculate rolling averages.
“Within days, the client had access to a dashboard that updated automatically, gave them trend insights, and helped them reduce excess stock by 18% in the first quarter,” says Greg.
This wasn’t a one-time solution. The new system became part of the company’s regular workflow, helping them make faster and more confident decisions across teams.
Greg always begins by understanding what the business actually needs to know. Is it customer churn? Regional growth? Process bottlenecks?
“The tools don’t matter if the question isn’t clear,” he says.
Whether writing SQL queries or Python scripts, Greg focuses on simplicity and scalability.
He structures his work so clients can update filters, add data, or re-run analyses without needing to rebuild the system.
Technical output is translated into practical terms: revenue impact, time saved, conversion rate changes.
Greg’s clients don’t need to know how the code works—they just need to trust the results.
While many analysts lean heavily on spreadsheets, Greg sees SQL and Python as the smarter choice for growing businesses.
“Data doesn’t speak for itself. It needs to be asked the right questions and framed in the right way,” says Greg Kutzin.
That’s what he brings to every engagement: not just technical know-how, but the mindset to ask the right questions, build sustainable tools, and help clients make decisions with confidence.
For businesses looking to sharpen their decision-making, Greg’s use of SQL and Python is more than a process—it’s a partnership. And it starts with a conversation.
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