Yomi Bello
Tracy
Summary
Analytical and results-oriented Data Analyst with a strong track record of transforming complex data into actionable insights that drive informed business decisions. Experienced in handling large, diverse datasets across fast-paced and data-driven environments. Proficient in SQL, Power BI, Python, and Excel, with a focus on data wrangling, reporting, and dynamic visualization. Skilled at developing interactive dashboards, tracking key performance indicators (KPIs), and uncovering trends that support strategic planning and operational efficiency. Adept at collaborating with cross-functional teams to identify opportunities, improve processes, and deliver measurable impact. Committed to data accuracy, continuous learning, and evidence-based analysis that creates real business value.
Overview
7
7
years of professional experience
1
1
Certification
Work History
Data Analyst Consultant
Odumaratech Limited
11.2023 - Current
- Utilized SQL to extract and consolidate learner and operational data from multiple internal databases, enabling comprehensive analysis of course performance.
- Employed Python (Pandas, Matplotlib, Seaborn) to clean and analyze large datasets, identifying key engagement trends that informed targeted retention strategies.
- Developed interactive Power BI dashboards that provided real-time insights on learner progress and retention, leading to a 15% reduction in drop-off rates within three months.
- Automated weekly data extraction and report generation processes using Python scripting, saving the operations team approximately 10 hours per week of manual work.
- Collaborated with marketing and product teams to align data insights with campaign strategies, resulting in a 20% increase in lead conversion tracked via SQL and Power BI metrics.
- Monitored data quality and accuracy through routine validation checks, troubleshooting anomalies with cross-team collaboration to ensure reliable reporting.
- Generated detailed monthly performance reports for senior management and external stakeholders using Power BI and Excel, supporting informed decision-making and grant applications.
- Used SQL joins and Python merging techniques to integrate data from LMS, CRM, and website analytics tools, creating a single source of truth for performance monitoring.
- Ensured all data handling adhered to GDPR and company privacy policies, maintaining compliance while enabling rich analytical insights.
- Leveraged Excel advanced functions and Python automation to streamline ad-hoc analysis requests, delivering timely insights to address urgent business questions.
- Participated in Agile sprints, presenting data insights and progress updates, which helped prioritize development tasks aligned with business goals.
Data Analyst
NHS Trust
09.2022 - 02.2023
- Integrated workforce datasets from ESR (Electronic Staff Record), HR organograms, and financial pay scales into unified, analysis-ready structures using Python (pandas, NumPy) and SQL.
- Developed and maintained automated ETL pipelines to standardise daily data refreshes, reducing manual data wrangling efforts by approximately 40%.
- Automated ETL pipelines with Python scripts (pandas, NumPy), pulling and cleaning data daily, this cut manual report prep time by 40%.
- Built Power BI dashboards with dynamic slicers and drill-down features, enabling clinical and finance managers to monitor staffing levels, pay band distributions, and cost centres by department or role.
- Partnered with HR analysts to align data fields and structures with NHS workforce reporting standards, ensuring consistency and compliance across reports.
- Wrote modular Python scripts for recurring analytics tasks, improving reproducibility and reducing ad hoc spreadsheet usage.
Business Intelligence Developer
Zenith Bank
03.2018 - 09.2021
- Report and Dashboard creation using Power BI to measure performance, note trends, and make recommendations.
- Developing SQL queries to extract and manipulate data from databases.
- Processing and scheduling bulk data using python programming language.
- Led a project to develop a report that monitors and triggers alerts and creates a repository for Duplicate BVN Enrolment, thereby improving transaction turnaround time by 80% across all branches in the Bank.
- Participation in data warehouse design.
Education
MSc - Applied Data Science
Anglia Ruskin University
Cambridge09.2022
BSc - Accounting
Federal University of Agriculture
04.2017
Skills
- Programming: Python
- Data Analysis: Excel, SQL
- Cloud Computing: AWS (S3, Lambda, EC2)
- Data Management and Visualization: MongoDB, SQL, Matplotlib, Seaborn, Plotly, PowerBI
- Version control: Git, Github
- Methodologies: Agile(Scrum)
Certification
Professional Member, BCS The Chartered Institute for IT Oct 2023
Timeline
Data Analyst Consultant
Odumaratech Limited
11.2023 - Current
Data Analyst
NHS Trust
09.2022 - 02.2023
Business Intelligence Developer
Zenith Bank
03.2018 - 09.2021
BSc - Accounting
Federal University of Agriculture
MSc - Applied Data Science
Anglia Ruskin University
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