Belvick Omanyo

Results-driven Data Analyst with a BSc in Economics and Statistics and 2+ years of professional experience collecting, processing, and analysing large datasets to generate actionable business insights. Proficient in SQL, Python (Pandas, NumPy), Power BI, Tableau, Advanced Excel (VBA, Power Query, pivot tables), SAP ERP, and Microsoft Fabric. Proven ability to develop and maintain automated dashboards and reports, conduct statistical analysis and data modelling, validate data quality and consistency, and communicate complex findings clearly to non-technical stakeholders.

Experienced in remote, self-directed work environments with a strong track record of independent delivery. Currently deepening data engineering expertise through ALX Africa (Feb 2026 – Present). A highly analytical, detail-oriented professional who translates complex data into decisions.

AI Data Annotation Specialist (Contract) at CloudFactory (2025-10 – 2026-03)

Project: Dataminr

• Remote Independent Delivery: Managed daily data processing and annotation workflows fully remotely, delivering consistently high-quality outputs independently, meeting productivity targets, and coordinating asynchronously across time zones with no supervision gaps.
• Large Dataset Processing & Pattern Analysis: Collected, processed, and analysed real-time data streams across 220+ countries, identifying patterns, trends, and anomalies within complex unstructured datasets to support AI model training pipelines.
• Data Quality & Validation: Applied structured quality control frameworks to ensure accuracy and consistency across all outputs, maintaining high performance standards throughout a 6-month engagement.

Junior Data Analyst (Internship) at Kenya Revenue Authority (KRA) (2023-01 – 2024-12)

• SQL & Large Dataset Querying: Queried and manipulated large financial and HR datasets daily using SQL and SAP ERP, extracting, filtering, joining, and aggregating data across multiple relational tables to support operational analysis and reporting.
• Statistical Analysis & Trend Identification: Collected and analysed complex financial and HR datasets using Python (Pandas, NumPy) and statistical techniques, identifying trends, correlations, and anomalies to generate actionable business insights for senior management.
• Power BI & Excel Dashboard Development: Developed and maintained automated Power BI and Excel dashboards tracking business KPIs, providing real-time visibility into operational performance trends for cross-functional management teams.
• Python Data Processing & Automation: Built Python and Excel VBA automation scripts that processed 2,000+ records monthly, reducing reporting time by 30% and delivering consistent, validated analytical outputs at scale.
• Data Validation & Quality Control: Implemented data validation frameworks and quality checks across all datasets, ensuring accuracy, consistency, and completeness of all reporting outputs before delivery to stakeholders.
• Ad-hoc Reporting & Visualisation: Generated ad-hoc reports and visualisations on request for Finance, HR, and Internal Audit, translating complex data findings into clear, accessible formats tailored to non-technical audiences.
• Cross-functional Collaboration: Collaborated with Finance, HR, Procurement, and Internal Audit teams to define data requirements, align reporting definitions, and ensure outputs supported business decision-making objectives.

Economic Planning Intern at National Treasury & Planning – State Dept. for Planning (2022-07 – 2022-10)

• Statistical Analysis & Data Modelling: Applied SPSS and STATA to analyse capital project performance data - developing statistical models, computing trend analyses, and generating data-driven insights to support government strategic planning decisions.
• Reporting & Stakeholder Communication: Produced structured analytical reports and data visualisations for senior government officials, communicating complex statistical findings clearly to non-technical decision-makers.
• Data Collection & Processing: Collected, processed, and reconciled programme and financial data from multiple departmental sources, building unified, analysis-ready datasets for central planning submissions.

BSc in Economics and Statistics – Kirinyaga University (2018 – 2022)

Data Engineering Programme in Data Engineering – ALX Africa (2026-02)