Resume

1. Kgaugelo Kutu
+44 7553 107837 · https://linktr.ee/kgaugelokutu · kgaugelokutu@gmail.com
Birmingham
DATA ANALYST
Results-driven data analyst with over 9 years of experience driving business growth through actionable
insights. Skilled in data analysis, stakeholder management, project management and business analysis. Strong
background in reporting with proven analytical skills. Proficiency in Tableau, SQL, Python and data
visualisation. Committed to continuous learning and staying up-to-date with industry trends. I have a passion
for uncovering data-driven opportunities and delivering high-quality outcomes.
Business Analysis
Project Management
Tableau/Power BI
SKILLS
Data Analysis
SQL
Problem-Solving
Advanced Excel
Communication
Stakeholder Collaboration
PROFESSIONAL BACKGROUND
Toyota South Africa
Manager: Sales Support Oct 2017 - Aug 2022
Key Accomplishments
 Delivered insightful analysis for the Vehicle Sales Development Programme (VSDP), providing
meaningful insights to both technical and non-technical senior management while building
consensus, resulting in quarterly sales volume increase and increased market share.
 Championed the Customer Campaign project from business case development, segmenting
B2C customers based on purchase history and preferences, leading to targeted marketing
campaigns and increased customer engagement.
 Championed the Vehicle Transfer System project and oversaw the Software Development Life
Cycle, streamlining delivery processes and contributing towards meeting the set customer
satisfaction NPS goals.
 Engaged with multi-disciplinary teams to support business transformation projects, including the
creation of the Retention Dashboard which enhanced retention performance.
Key Responsibilities
 Skilfully forecasted quarterly retention targets by leveraging historical dealer performance data,
playing a pivotal role in supporting the company-wide retention strategy.
 Facilitated stakeholder engagement processes to set direction and obtain buy-in, ensuring
projects proceeded in a preferred manner, thus employing an analytical approach to ensure
consistency and accuracy of solutions.
 Proactively utilised IBM Cognos for data extraction, curation and analysis to measure project
effectiveness, enhance data-driven decision-making and drive change.
 Led the regional team in providing technical support for system changes associated with the
CRM to enhance team autonomy.
 Coached and mentored new graduate members to enhance their skills and equip them to add value.
 Collaborated with relevant third-party vendors to deliver the Future-Drive training program on-
time and within budget, for dealer retail partners, building strong relationships in the process.

2. Toyota South Africa
Assistant Manager: Systems Development Aug 2014 - Sep 2017
 Collaborated with IT using agile methodologies to develop and maintain the Connected Car
project, achieving seamless connectivity and a positive in-vehicle user experience.
 Engaged with the Sales team to improve after-sales parts-order accuracy to 85% through new
introduction model reports to strategically manage the after sales demand.
 Championed the Vin Solution project, increasing parts accuracy to 90% and improving customer
satisfaction scores by 5%.
Toyota South Africa
Graduate Trainee: Customer Service Systems Jan 2013 - Jul 2014
 Enhanced the functionality of the Customer Care Call Centre system to support the call centre
team and empower technical field managers in resolving customer-related issues.
 Supported the national rollout of the CRM system, ensuring seamless implementation.
EDUCATION
Coventry University
MSc Business Analytics
University of South Africa
BSc (Honours) in Computing
University of Johannesburg
BSc Computer Science and Informatics
CERTIFICATES
University of Cape Town
Data Science with Python
Faculty Training Institute
Certificate Program in Business
Analysis
Exin
ITIL
PROJECTS
Productivity Prediction
Created a garments productivity prediction model with Python incorporating EDA, Data Cleaning,
Statistical Analysis, Model Evaluation and Cross-Validation.
Twitter Sentiment Analysis
Utilised Python to scrape tweets, performed text analytics techniques including text cleaning, text pre-
processing and sentiment analysis to measure viewer perceptions. Visualised the dashboard to analyse viewer
engagement using Tableau.