Hannah Mwende

Data Analyst | Marketing Automation Specialist
Nairobi, KE.

About

Highly analytical and results-driven Data Analyst with a proven track record in transforming complex data into actionable insights and strategic business solutions. Expert in developing business intelligence dashboards, optimizing CRM workflows, and leveraging advanced analytics to drive lead generation, enhance customer engagement, and improve data-driven decision-making. Committed to continuous improvement and delivering measurable impact across marketing and operational initiatives.

Work

Dizzitup
|

CRM and Marketing Automation Analyst

Nairobi, Nairobi, Kenya

Summary

Currently serving as a CRM and Marketing Automation Analyst, Hannah Mwende optimizes customer relationship management and marketing processes to drive engagement, lead capture, and data collection for Dizzitup.

Highlights

Automated CRM workflows using Zapier, integrating data from social media platforms, WPForms, and live chat into Klaviyo, enabling seamless audience tracking and segmentation.

Analyzed campaign performance and marketing data to enhance customer engagement and refine automation processes, improving overall marketing effectiveness.

Optimized CRM workflows within Tawk.io by enhancing chatbot interactions, significantly improving lead capture and customer data collection efficiency.

Developed and maintained marketing processes to optimize the entire sales funnel, enhancing lead generation, nurturing, and conversion rates.

Built automated email sequences in Klaviyo, triggered by user behaviors (sign-ups, purchases, subscriptions), resulting in increased user engagement and retention.

Global Careers Africa
|

Data Analyst

Nairobi, Nairobi, Kenya

Summary

As a Data Analyst at Global Careers Africa, Hannah Mwende developed robust data pipelines and analytical solutions to provide critical insights into market trends and competitive pricing.

Highlights

Engineered and automated a web scraping pipeline, efficiently extracting product details from multiple e-commerce platforms.

Designed and implemented an ETL workflow utilizing Apache Airflow for streamlined data extraction, transformation, and loading processes.

Optimized a PostgreSQL database, enhancing data querying efficiency and enabling robust analysis of pricing trends.

Developed interactive dashboards with Power BI and Tableau, providing critical insights into pricing trends, fluctuations, and competitive market positioning.

Yakwetu Online Limited
|

Data Analyst

Nairobi, Nairobi, Kenya

Summary

At Yakwetu Online Limited, Hannah Mwende served as a Data Analyst, providing key customer insights and enhancing decision-making through advanced data visualization and segmentation.

Highlights

Designed and maintained interactive dashboards and reports using Tableau and Looker Studio, delivering critical customer and social media insights that enhanced decision-making on target market strategies and improved customer experience.

Developed RFM (Recency, Frequency, Monetary) customer segmentation and cohort analysis dashboards in Tableau, identifying high-value segments and providing actionable insights for retention strategies and personalized marketing initiatives.

Conducted call surveys with top customer segments to gather direct feedback, identifying key improvement areas that boosted customer satisfaction and informed targeted enhancements.

Leveraged Google Analytics and Amplitude to analyze customer growth trends, website analytics, and campaign outcomes, delivering actionable insights that optimized marketing efforts and improved customer conversion rates.

Collaborated with the Development team to design and implement a customer-facing chatbot, using data insights to shape training content and ensure accurate, relevant responses.

Volunteer

Bringing Smiles Foundation
|

Monitoring And Evaluation Officer

Nairobi, Nairobi, Kenya

Summary

Oversaw monitoring and evaluation activities to ensure program effectiveness and impact for the Bringing Smiles Foundation.

Highlights

Developed and implemented M&E frameworks to track program performance against key objectives.

Collected and analyzed data to assess the impact of community initiatives and identify areas for improvement.

Prepared comprehensive reports on program outcomes, providing insights for strategic planning and stakeholder communication.

Education

IU International University of Applied Sciences
Nairobi, Nairobi, Kenya

B.Sc.

Data Science

eMobilis Mobile Technology Institute
Nairobi, Nairobi, Kenya

Program

AWS Re/Start Program

Azubi Africa
Nairobi, Nairobi, Kenya

Certificate

Data Analytics

Moringa School, Kenya
Nairobi, Nairobi, Kenya

Nanodegree

Data Science

Certificates

AWS Certified Cloud Practitioner

Issued By

Amazon Web Services (AWS)

Google Project Management Certificate

Issued By

Google

Google Digital Marketing & E-commerce Professional Certificate

Issued By

Google

Google Data Analytics Certificate

Issued By

Google

Skills

Programming Languages

Python, SQL.

Data Visualization Tools

Tableau, Looker Studio, Power BI.

Cloud & ETL Tools

Amazon Web Services (AWS), Airflow, Docker, ETL (Extract, Transform, Load).

Databases & Data Management

PostgreSQL, Data Collection, Data Structuring, Data Optimization.

Analytics & Business Intelligence

Data Analysis, Machine Learning, Business Intelligence, Campaign Performance Analysis, Customer Segmentation, Cohort Analysis, Web Analytics (Google Analytics, Amplitude), Pricing Trend Analysis, Competitive Pricing.

CRM & Marketing Automation

CRM Workflows, Marketing Automation, Klaviyo, Zapier, Tawk.io, Chatbot Optimization, Lead Generation, Lead Nurturing, Lead Conversion, Email Sequences, Personalized Content.

Project Management & Collaboration Tools

Jira, Microsoft Office Suite, SOP Documentation.

Soft Skills

Presentation, Collaboration, Problem-Solving, Communication, Strategic Decision Support, Continuous Improvement.

Projects

E-commerce Product Analysis

Summary

Conducted an end-to-end analysis of e-commerce products to identify and visualize pricing trends across various platforms.

Driver Drowsiness Detection System

Summary

Developed a computer vision model utilizing deep learning techniques to detect driver drowsiness and mitigate accident risks.