Ntshephe Crecious Mphofela

Ntshephe Crecious Mphofela

Fraud Analyst & BI Analyst

Johannesburg, Gauteng, South Africa

Results-driven Fraud Analyst & BI Analyst leveraging data to detect fraud, enhance decision-making, and optimize processes

ntshephecrecious@gmail.com

+27 72 879 5836

About Me

I am a results-driven professional with over 3 years of experience in ETL development, data warehousing, and fraud-detection. My expertise spans across business intelligence visualization, data governance, risk compliance, and stakeholder collaboration. My core strengths lie in data governance, risk compliance, stakeholder collaboration, and process optimization. I have a proven track record of improving fraud detection accuracy and automating manual processes to enhance operational efficiency. I am passionate about data-driven problem-solving and technology innovation, constantly seeking new ways to leverage data analytics to drive business value and enhance decision-making processes.

3+ Years Experience

in ETL, data warehousing and fraud detection

Data-Driven

Leveraging analytics for enhanced decision making

Fraud Detection

Advanced pattern identification and analysis

Collaboration

Strong stakeholder engagement and teamwork

My Skills

Programming & Data Tools

Python Icon Python
SQL Icon SQL (T-SQL, Proc-SQL)
Power BI Icon Power BI
SAS Viya Icon SAS Viya
Excel Icon Advanced Excel
Java Icon Java EE
C++ Icon C++
HTML Icon HTML
CSS Icon CSS

Analytics & BI

Data Warehousing Icon Data Warehousing
ETL Icon ETL Tools
Fraud Detection Icon Fraud Detection
Risk Assessment Icon Risk Assessment
Trend Analysis Icon Trend Analysis
KPI Monitoring Icon KPI Monitoring

Database & Infrastructure

SQL Server Icon SQL Server
SSIS Icon SSIS
Neo4J Icon Neo4J
Power Query Icon Power Query
DAX Icon DAX
Pivot Tables Icon Pivot Tables

Soft Skills

Stakeholder Engagement
Problem Solving
Detail-Oriented
Collaboration
Data Governance
Process Optimization

Professional Experience

Fraud Data Administration

RMB (Rand Merchant Bank) | Aug 2025 - Present

  • Develop and maintain fraud detection dashboards, track suspicious activities, and implement proactive fraud prevention measures.
  • Conduct SARS VAT funds verification and identify potential fraud in high-value transactions.
  • Manage relationships with corporate clients to mitigate fraud risks and ensure compliance.
  • Perform data audits, maintain clean datasets, and ensure accurate reporting for decision-making.
  • Automate fraud case workflows, ETL processes, and reporting to improve efficiency.
  • Work with investigators, compliance teams, and data specialists to address emerging threats.

Fraud Data Analyst & BI Analyst

FNB (First National Bank) | July 2023 - August 2025

  • Leading fraud detection initiatives and business intelligence analytics.
  • Improved fraud detection accuracy by 15% through advanced pattern identification.
  • Automated manual data entry processes, reducing errors by 30%.
  • Designed comprehensive Power BI dashboards for KPI monitoring.

Graduate BI Analyst

FirstRand Group | July 2022 - June 2023

  • Delivered advanced analytics solutions and maintained data quality standards.
  • Managed data quality processes, ensuring 95% reporting accuracy.
  • Developed Real Time Clearance (RTC) dashboard.
  • Collaborated with cross-functional teams to integrate data.

IT Technician Trainee

Limpopo Dept. of Sport, Arts, and Culture | Dec 2020 - May 2021

  • Provided technical support and managed network infrastructure.
  • Configured and deployed software solutions across departments.
  • Performed software troubleshooting and system maintenance.

Featured Projects

Fraud Detection Reporting Dashboard

Comprehensive Power BI dashboard for real-time fraud monitoring and analysis.

Power BI T-SQL DAX Python

Real Time Clearance (RTC) Dashboard

Advanced BI solution for funds verification and real-time monitoring.

SAS Viya Excel Power BI ETL

Predictive Fraud Detection Models

Developed machine learning models to identify suspicious patterns before they impact operations.

Python Machine Learning T-SQL SAS

Ponzi Scheme Investigation & Syndicate Analysis

Comprehensive framework for identifying and analyzing complex fraud schemes.

SAS Viya Excel Bank Hogan XDS

Data Migration: SECM to SAS Viya

Managed a large-scale data migration project for improved analytics.

SAS Viya SQL ETL Data Quality

Education & Certifications

Education

Advanced Diploma in Computer Sciences

Tshwane University of Technology

In progress

National Diploma: Information Technology

Tshwane University of Technology

Completed

Certifications

Responsive Web Design

FreeCodeCamp.org

Data Analytics Toolbox

Udemy

PL-900 Power Platform Fundamentals

Udemy

Introduction to Cybercrime

Udemy

Key Accomplishments

30%

Reduction in Manual Data Entry Errors

15%

Improvement in Fraud Detection Accuracy

95%

Data Reporting Accuracy Achievement

100%

Successful Dashboard Implementations

Get In Touch

Let's Connect

Ready to collaborate on your next data analytics project? Let's discuss how I can help drive your business forward.

ntshephecrecious@gmail.com

+27 72 879 5836

Johannesburg, Gauteng, South Africa

Send a Message