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Naggar Analytics

Raw Data

Publication-Ready Figures

SCROLL

From Chaos to Clarity

y = 0 + 0.0x + ε

This is what we do for every client — raw, messy data refined into clear, defensible results that hold up to peer review, regulatory scrutiny, or a thesis committee.

For Academic Researchers

  • Thesis & dissertation statistical analysis
  • Publication-ready results within 10 business days
  • Full methodology reports, APA-formatted

For Research Institutions & Labs

Supporting university research departments, hospital labs, and government research bodies with rigorous, scalable statistical analysis.

  • Population health & epidemiological analytics
  • Multi-site clinical data modeling
  • Bioinformatics & genomic data pipelines

For CROs & Clinical Trials

Statistical support tailored for contract research organizations managing Phase I–IV trials and regulatory submissions.

  • Statistical Analysis Plans (SAP authoring & amendments)
  • Randomization schemes & interim analysis
  • Regulatory-ready trial data outputs
Why Choose Us

Built for Rigor

Four pillars that set Naggar Analytics apart from every freelancer and generic data service.

10-Day Delivery*

Publication-ready statistical reports delivered within 10 business days — so you never miss a submission deadline.

Double-Blind Validation

Every analysis is independently reviewed by a second senior biostatistician before delivery — no unchecked work leaves our team.

Ethical Analysis

No ghostwriting. No data fabrication. No shortcuts. We document every analytical decision so your results are fully defensible.

Streamlined Workflow

Secure data upload, a transparent quote within 48 hours, and a real-time project dashboard — no back-and-forth, no guesswork.

* Most projects are delivered within 10 business days. Larger or more complex projects may require additional time, communicated and agreed upon before work begins.

Now Hiring

Join Our Team

We're looking for passionate data analysts to join our growing team. All positions are remote and part-time.