About

About PA Data Analytics

PA Data Analytics is a data analytics consultancy helping businesses turn complex data into clear insights and practical decisions.

Who we are

From data to insights to better decisions

We work with businesses, e-commerce brands, marketing teams, growing organisations and impact-focused organisations to improve how they understand and use their data.

Our work spans marketing analytics, customer intelligence, predictive analytics, business intelligence, dashboards and reporting.

From fragmented spreadsheets and marketing data to interactive dashboards and analytical models, we help organisations move from data to insights to better decisions.

DataInsightsBetter decisions

Based in
Nairobi, Kenya
Service area
Remote & international
Model
Founder-led consultancy
Illustrative business intelligence dashboard with sample data: revenue, ROAS and CAC cards, a revenue-versus-target trend, ROAS by channel and a customer segment table
Illustrative dashboard · sample data
Core areas

What we do

Who we work with

Industries and teams

  • E-commerce brands
  • Growing businesses and SMEs
  • Marketing teams
  • SaaS companies and startups
  • NGOs and impact organisations
Philosophy

How we approach analytics

Analysis is only useful if it changes a decision. The aim of a project is a better decision, not just a better-looking chart.

Business first

We start with your business question, not the data. Every engagement begins by defining what a useful answer looks like and which decision it supports.

Technical rigour

Analysis is built on cleaned, validated data and documented methods. We do not present findings without being able to show how they were produced.

Clear communication

Complex findings are explained in plain language, with a clear next action. If a finding cannot be explained clearly, it is not ready to share.

Honesty about uncertainty

We say what the data can support and what it cannot, especially when a result challenges existing assumptions.

Tools

Tools we use

Tools are chosen to fit the question and the systems your team already uses.

Analysis & modelling

  • Python
  • Pandas
  • NumPy
  • Statsmodels
  • Scikit-learn
  • XGBoost
  • SHAP

Data

  • SQL
  • BigQuery
  • MySQL
  • Excel

BI & visualisation

  • Power BI
  • DAX
  • Tableau
  • Looker Studio

Measurement

  • GA4
  • Google Tag Manager
  • Attribution
  • MMM

Let's turn your data into your next decision.

Tell us what you are trying to understand: marketing performance, customer retention, forecasting or reporting. We will reply with practical next steps.

Prefer email? [email protected]