Start with the decision
Before choosing a tool or model, define what the analysis needs to help someone decide or do differently.
About Sum of Squares
Data is technical. Decisions are human.
We help organizations bridge that gap with analytics systems that are clear, useful, and built around the way people actually work.
The team
Two partners. One practical approach to data.
I’m a data analytics consultant focused on turning complicated business data into tools people can actually use.
My work sits at the intersection of analytics, automation, reporting, and business operations. I build dashboards, automate repetitive reporting processes, analyze complex datasets, and create custom solutions using tools such as Python, SQL, Excel, Power BI, Tableau, and JavaScript.
My background also includes enterprise learning technology, workforce and people analytics, compliance reporting, assessment analytics, and operational data. That means I’m comfortable not only with the numbers, but with the systems, processes, and stakeholders behind them.
The goal is simple: make your data useful.
I care about solutions that are maintainable after the project ends. Good analytics should reduce friction, improve visibility, and make the next decision easier — not create another black box your team has to manage.
Jordan Gill is a founder and Analytics consultant at Sum of Squares, working to help organizations turn business questions into clear, practical analytics solutions.
Sum of Squares bring a collaborative approach to each engagement: understand the problem first, build only what is useful, and make sure the final solution is something the client can actually use.
Good analytics should make the next decision easier.
Jordan brings a deep expertise to client work and helps keep solutions grounded in the business problem rather than the tool. The result is work designed to be understandable, actionable, and useful beyond the initial engagement.
Expertise
Technical range with business context.
Data AnalyticsReporting AutomationBusiness IntelligenceDashboardsPeople AnalyticsPythonSQLExcelPower BITableau
How we work
Useful beats impressive.
Automate the boring parts
Repetitive reporting and manual cleanup are usually opportunities to create faster, more reliable workflows.
Leave a system behind
The finished work should be understandable, maintainable, and useful after the engagement is over.
Want to see what that looks like in practice?
Explore examples of reporting automation, location intelligence, talent analytics, assessment reporting, and other data products.
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