Analytical leadership
Help navigate difficult analytical questions, set priorities, and provide experienced statistical and technical direction as the work evolves.
Analytical partner for healthcare teams and organizations
Bring structure to difficult analytical problems.
CentralStatz helps healthcare teams and organizations think through, design, and build analytical systems and processes that bring structure, clarity, and reproducibility to complex problems.
Sometimes that means reporting pipelines, analytical applications, statistical workflows, or internal analytics infrastructure. Other times it simply means helping navigate difficult analytical questions. The starting point is a conversation about the real problem, not a predefined solution.
How the work movesFrom ambiguity to analytical clarity.
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01
EvaluateClarify the questions, decisions, and constraints.
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02
DesignDefine the analytical approach and how the pieces fit together.
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03
BuildImplement the solution the problem actually requires.
01 / Work with CentralStatz
Evaluate. Design. Build.
Support can be advisory, hands-on, or a combination depending on the problem and the capabilities already in place.
Strengthen the logic
Review definitions, cohorts, attribution rules, assumptions, statistical approaches, and sources of bias or instability.
Build the structure
Design reproducible reporting pipelines, analytical datasets, applications, workflows, documentation, and internal infrastructure.
Common thread: Disciplined design. Reproducibility. Statistical clarity.
02 / Philosophy
Structure Before Sophistication
Most analytical problems do not begin with dashboards or models. They begin with questions. CentralStatz works through the structure behind the problem before building a solution.
It is easy to focus on the output first. But the output is only as useful as the reasoning and processes behind it: clear definitions, reproducible workflows, defensible metrics, and maintainable implementation.
Clear questionsDefine what the work is meant to answer and support.
Defensible logicMake measures and assumptions open to review.
Reproducible systemsBuild work that can be understood, repeated, and maintained.
Appropriate toolsUse sophistication only where the problem earns it.
03 / CentralStatz Lab
Exploring analytical problems in healthcare.
The CentralStatz Lab is where ideas are developed into prototypes, frameworks, and working systems that can be tested, challenged, and refined. It provides a place to explore healthcare problems beyond the constraints of client work while making the thinking and methods behind CentralStatz visible.
CURRENT AREAS OF EXPLORATION
Readmission risk trajectories
04 / About
Meet Alex Zajichek
Alex is a statistician and data scientist in Central Wisconsin with more than a decade of experience working across healthcare research, analytics, and data science.
His work is especially grounded in healthcare, where messy systems, consequential decisions, and fragile metrics make sound analytical structure essential. Through CentralStatz, he helps teams and organizations build reproducible analytics, strengthen statistical reasoning, and create systems and processes that make complex questions easier to answer over time.
Alex Zajichek · Statistician & data scientist · Wausau, Wisconsin
05 / Start here
What analytical problem should work better?
Share the rough version. Starting a conversation doesn’t commit you to anything.
Prefer email? alex@centralstatz.com