Open to opportunities

Grace Mutanda

@gracemutanda

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Entry-level risk monitoring analyst and data analyst focused on accurate reporting and anomaly detection.

Kenya

Message

What I'm looking for

I’m looking for an entry-level risk monitoring or data analysis role where I can track transactions, flag anomalies, and escalate clearly—using Excel and SQL to support data-driven oversight and keep growing in quantitative work.

I’m an early-career risk monitoring analyst and data analysis student at the University of Nairobi, building my quantitative edge through coursework in data analysis, statistical computing, research methods, probability theory, and quantitative methods. I naturally think in patterns—I notice when numbers behave unexpectedly—and I take process and data accuracy seriously, escalating issues clearly and without cutting corners. I’m currently teaching myself SQL and data analytics through a self-directed bootcamp, where I’m also building a real-world portfolio project to clean, analyze, and draw conclusions from data.

In my previous Administrative and Data Officer role at a school canteen, I monitored daily financial data, tracked transactions, and checked figures for accuracy before shifts closed. I identified a recurring discrepancy by working through the transaction log systematically, found the source, and corrected it before it could grow into a bigger problem; I also maintained operational data across stock levels, billing records, and transaction logs while updating figures in real time. I flagged unusual entries and escalated data issues to management with clear explanations, and I prepared weekly summary reports for management review—skills I’ve continued developing through virtual-assistant practice with Excel-based monitoring, anomaly detection, documentation, and report writing.

Experience

Work history, roles, and key accomplishments

Current

Virtual Assistant Practice

Current

Self-Directed

Jan 2024 - Present (2 years 5 months)

Practiced risk-style data monitoring and analysis using Excel, including tracking figures across datasets and flagging entries outside expected ranges. Produced clear internal report and issue summaries based on anomaly detection and cross-referencing exercises.

Microsoft Excel Data Cleaning Anomaly Detection Data monitoring Report Writing Statistical Analysis

Current

Virtual Assistant Training

Current

Self-Directed

Jan 2024 - Present (2 years 5 months)

Practiced risk-style data monitoring tasks in Excel by tracking figures across datasets, identifying out-of-range entries, and documenting analysis results. Built report-ready issue summaries and studied repeatable data workflows for ongoing multi-task accuracy.

Data monitoring Data Validation Data Reporting Documentation

Administrative and Data Officer

Burumba Secondary School

Jan 2024 - Aug 2024 (7 months)

Monitored daily financial transaction data, verified accuracy before shift close, and maintained stock/billing records in real time. Investigated and corrected a recurring discrepancy, flagged unusual entries, and escalated issues to management while preparing weekly performance and inventory reports.

Microsoft Excel Data monitoring Report Preparation Data Validation

Administrative and Data Officer

Burumba Secondary School Canteen

Jan 2024 - Aug 2024 (7 months)

Monitored daily financial and transaction records, verifying figure accuracy before shift close and maintaining stock and billing data in real time. Identified and corrected a recurring discrepancy, flagged unusual entries, escalated issues clearly, and prepared weekly reports for management review.

Data monitoring Excel reporting Anomaly Detection Report Preparation

Volunteer Teacher

Local School

Independently set up and delivered teaching sessions, managing scheduling and instruction without supervision. Adapted explanations to student understanding and communicated concepts clearly using different approaches.

Communication Scheduling Time Management

Education

Degrees, certifications, and relevant coursework

University of Nairobi

Bachelor of Science, Statistics

Activities and societies: Core modules include Data Analysis, Statistical Computing, Research Methods, Probability Theory, and Quantitative Methods.

Pursuing a BSc in Statistics with coursework in data analysis, statistical computing, research methods, probability theory, and quantitative methods.

Self-directed Data Analytics Bootcamp

Data Analytics Bootcamp, Data Analytics

Activities and societies: Learning SQL and Excel for data cleaning/analysis; building an analytics portfolio project from scratch.

Completing a self-directed data analytics and SQL learning bootcamp while building a real-world portfolio project involving data cleaning, analysis, and conclusions.