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Data Analyst with 5+ years in business intelligence and actionable insights.
Data Analyst with 3 years of experience transforming complex, multi-source datasets into actionable business intelligence that drives measurable outcomes. Expert in the full analytics workflow, from data collection, cleaning, and validation through ETL pipeline development, statistical analysis, and dashboard delivery, using SQL, Python, Power BI, and Excel. Proven ability to design KPI frameworks, build scalable reporting systems, automate manual workflows, and communicate findings clearly to both technical teams and senior leadership. Comfortable operating independently in ambiguous environments, leading data projects end-to-end, and making data accessible and useful across organizations. Demonstrated impact: 40% improvement in operational retention and 30% year-on-year revenue growth driven by structured data analysis and strategic recommendations.
Artificial Intelligence Technologies Ltd
Diploma · Data Analysis & Data Science
N/A – Present
Nnamdi Azikiwe University
Bachelor's Degree · Education Management & Business Administration
N/A – June 30, 2024
Artificial Intelligence Technologies
Business & Data Analyst
February 1, 2025 – Present
Abuja, Federal Capital Territory, Nigeria
Iyke Connections Ltd
Sales Executive - Business & Data Analyst Function
June 1, 2021 – December 1, 2024
Abuja, Federal Capital Territory, Nigeria
KPI Framework & Retention Analytics
June 19, 2026 – Present
Designed and implemented a full KPI measurement system from scratch, defining metrics, building ETL pipelines, and delivering Power BI dashboards that contributed to a 40% improvement in user retention.
Revenue Growth Analytics
June 19, 2026 – Present
Conducted cohort and trend analysis across customer segments, producing strategic insights that informed commercial decisions and drove 30% year-on-year revenue growth.
Reporting Automation Pipeline
June 19, 2026 – Present
Built automated ETL pipelines using Python and Power Query, replacing hours of weekly manual data processing, improving data quality, consistency, and analytical turnaround time.
RCT Data Analysis
June 19, 2026 – Present
Analyzed a large-scale randomized controlled trial dataset (460,000+ records) using Python and statistical methods, delivering treatment effect analysis, significance testing, and strategic scale-up recommendations.
PwC Switzerland - Power BI Job Simulation
PwC Switzerland
June 1, 2026 – Present
Accenture North America - Data Analytics & Visualization Job Simulation
Accenture North America
June 1, 2026 – Present
Excelerate / St. Louis University - Data Visualization Virtual Internship (Star Performer)
Excelerate / St. Louis University
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including RCT data analysis, revenue growth analytics, and KPI framework development, shows a broad interest and capability in various data analysis domains. Their experience in both a dedicated Business & Data Analyst role and a Sales Executive role with data analyst functions indicates adaptability and a business-oriented mindset. The certifications from Accenture, PwC, and St. Louis University further demonstrate a commitment to continuous learning and professional development, aligning well with a culture of growth and improvement.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities, evidenced by their work on automating reporting and designing KPI frameworks. Their experience in collaborating cross-functionally and communicating data insights to stakeholders indicates good teamwork and communication skills. The ability to operate independently in ambiguous environments and lead projects end-to-end suggests a proactive and self-sufficient work attitude.