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Best freelance Data Analysts in Nairobi County to hire in 2025

Looking to hire Data Analysts in Nairobi County for your next project? Browse the world’s best freelance Data Analysts in Nairobi County on Contra.

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Logo for Wix StudioLogo for RiveLogo for WebstudioLogo for GlorifyLogo for JitterLogo for FlutterFlowLogo for PeachWebLogo for CanvaLogo for Lottie FilesLogo for Workshop BuiltLogo for BuildshipLogo for AppsumoLogo for FramerLogo for BarrelLogo for BubbleLogo for LummiLogo for WebflowLogo for GrayscaleLogo for Stride UXLogo for InstantLogo for SplineLogo for KittlLogo for RelumeLogo for HeyGenLogo for Replo
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Brenda Mutai
Nairobi, Kenya
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Data Analyst(1)
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FELIX OMOLO
Nairobi, Kenya
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Cover image for Data Analysis and Visualization for a Real Estate Startup
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Data Analysis and Visualization for a Real Estate Startup

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9

Data Warehousing and Analysis Using IBM Cloud

Cover image for Rent-Revenue-Data-Pipeline
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Rent-Revenue-Data-Pipeline

Cover image for Web-scraping-BeautifulSoup
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Web-scraping-BeautifulSoup

Cover image for Exploratory Sales-analysis
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Exploratory Sales-analysis

Cover image for Flood Risk Assessment in Refugee Camp Using QGIS
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Flood Risk Assessment in Refugee Camp Using QGIS

Cover image for NDBI of Nairobi City, Kenya
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NDBI of Nairobi City, Kenya

Cover image for Smart Power Outage Management Systems Using GIS
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Smart Power Outage Management Systems Using GIS

Cover image for Supervised Land Classification of Kisumu, Kenya using GEE
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Supervised Land Classification of Kisumu, Kenya using GEE

Cover image for NLP -Amazon Customer Sentiment Analysis
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NLP -Amazon Customer Sentiment Analysis

Cover image for BBC News Articles -Topic Modelling
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BBC News Articles -Topic Modelling

Cover image for Churn prediction analysis and prediction
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Churn prediction analysis and prediction

Cover image for Brenda-Mutai/Phase-1-Project
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Brenda-Mutai/Phase-1-Project

Cover image for christianwilliamsjire/New-York-City-Airbnb-Study
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christianwilliamsjire/New-York-City-Airbnb-Study

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christianwilliamsjire/mental_health_study

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Kaggle uses cookies from Google to deliver and enhance the qual…

Cover image for Sir-Muguna/healthcare_data_pipeline
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Sir-Muguna/healthcare_data_pipeline

Cover image for Sir-Muguna/end-to-end-airflow-data-pipeline
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Sir-Muguna/end-to-end-airflow-data-pipeline

Cover image for Geospatial analysis
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Cover image for Web Scraping & Data Mining
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Web Scraping & Data Mining

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Data Analysis for BI

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Creating a Stock Market Analysis Bokeh Web App

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Data Analyst

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Remote Working in Africa: Growing Trend in an Overlooked Market

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Employee Demographics Dashboard

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Joylynn-tech/data-exploration-in-SQL-1

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Cover image for Expert Data Analysis & Statistics Services
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Expert Data Analysis & Statistics Services

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Professional Statistics Tutor and Assignment Helper

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Data mining & Entry

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Investigating Netflix Movies

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HR analysis using Power BI

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BI Dashboard

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Data Visualization

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Credit Guide

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Lime Processing Line

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GitHub - Ndavucha/Predictive-Modeling-with-Jupyter-Notebook

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Employement-Rate-Analysis

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-Kenya 5th President-Sentimental-Analysis-Phython-

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Car Price Prediction

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Sales Performance Optimization

Cover image for Customer Segmentation for Targeted Marketing
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Customer Segmentation for Targeted Marketing

Cover image for Financial Forecasting and Risk Assessment
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Financial Forecasting and Risk Assessment

Cover image for Expert Data Analysis and Academic Writing Services
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Expert Data Analysis and Academic Writing Services

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Expert Data Analysis and Academic Writing Services

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Data Cleanup - 10,000 Congregation Church

Top services from Data Analysts in Nairobi County on Contra

FAQs

Start by outlining the objectives of your project and the specific data analysis tasks you need to be completed. Break down these tasks into measurable deliverables and establish a timeline for their completion. Providing as much detail as possible about the data sets, tools, and technologies you expect the analyst to use will also assist in setting clear expectations.
Review the freelancer’s previous projects and look for successful case studies that align with your needs. Assess their technical skills in specific tools or methodologies relevant to your project. Consider asking for samples of their work or a portfolio that highlights their problem-solving capabilities and creativity in data visualization.
Divide the project into distinct phases and establish key milestones that are tied to specific deliverables. Each milestone should have clear objectives and expected outcomes. Collaborate with the freelancer to agree on timeframes for each deliverable and establish regular check-ins to monitor progress and adjust timelines if necessary.
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