PwC Switzerland Power BI Job Simulation
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Summary
Completed a comprehensive job simulation focusing on Power BI, enhancing client understanding and data visualization capabilities to meet specific business needs through a virtual internship.
About
Highly analytical Data Analyst with over 2 years of experience in transforming complex datasets into actionable insights using SQL, Power BI, Python, and Excel. Proven ability to develop automated dashboards and executive-ready reports, driving measurable business outcomes across HR and operations. Adept at cross-functional collaboration and data storytelling to empower data-driven decision-making in fast-paced, remote environments.
Work
GAIOS SYTEMS
|Operations Analyst
Lagos, Lagos State, Nigeria
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Summary
Currently monitoring, analyzing, and evaluating daily operational performance metrics to support efficient service delivery and provide actionable insights for data-driven decision-making.
Highlights
Monitored and analyzed daily operational performance metrics, improving service delivery efficiency across multiple offices by identifying key trends and areas for optimization.
Developed and maintained operational dashboards and performance reports, delivering actionable insights that facilitated data-driven decision-making and strategic planning for management.
Managed end-to-end operational equipment movement, ensuring 100% accurate documentation, inventory reconciliation, and real-time asset visibility to prevent loss and downtime.
Identified and resolved operational inefficiencies and recurring issues through data analysis, recommending process improvements that enhanced productivity and resource utilization.
Ensured 100% compliance with internal SOPs and asset management policies, proactively identifying and mitigating risks, discrepancies, and control gaps to safeguard assets.
Self-Employed
|Freelance Data Analyst / BI Analyst
Remote, Global, WW
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Summary
Analyzed business and operational data to quantify user and process behavior, identifying opportunities for performance improvement and supporting data-driven decision-making.
Highlights
Analyzed complex business and operational data, quantifying user and process behaviors to identify critical opportunities for performance improvement and efficiency gains.
Developed and implemented interactive Power BI dashboards and Excel reports, enabling small businesses to monitor key performance indicators (KPIs) and track outcome metrics effectively.
Conducted in-depth segmentation analysis to uncover distinct customer and operational performance patterns across various groups, informing targeted strategies.
Utilized Python for regression analysis, identifying significant relationships between variables to generate predictive insights that supported data-driven forecasting.
Translated complex analytical findings into clear, concise narratives and compelling visuals, accelerating data-driven decision-making for clients.
Dafe Software Limited
|Data Analyst Intern (Hybrid)
Port Harcourt, Rivers State, Nigeria
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Summary
Built and maintained automated Power BI dashboards to track workforce KPIs, conducted exploratory data analysis, and partnered with HR to translate business questions into measurable analytical reports.
Highlights
Developed and maintained automated Power BI dashboards using DAX, effectively tracking workforce KPIs and improving operational efficiency by 15%.
Performed extensive exploratory data analysis on HR data, identifying key performance patterns and drivers influencing employee engagement and retention strategies.
Collaborated with HR and management stakeholders to translate complex business questions into measurable KPIs and comprehensive analytical reports, facilitating strategic decision-making.
Cleaned and transformed large datasets (50,000+ records), achieving 98% data accuracy, which significantly enhanced the reliability of subsequent analyses and decision-making processes.
Streamlined reporting processes through automation and standardized workflows, reducing reporting turnaround time by 40% and increasing efficiency.
MeriSkill
|Data Analyst Intern (Remote)
Remote, Global, WW
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Summary
Analyzed sales datasets to uncover revenue patterns, customer behavior trends, and built a machine learning classification model in Python.
Highlights
Analyzed comprehensive sales datasets to identify key revenue patterns, customer behavior trends, and performance drivers, informing strategic sales initiatives.
Developed a machine learning classification model in Python, managing end-to-end processes from data preprocessing and feature selection to model evaluation, achieving robust predictive capabilities.
Presented complex analytical findings to mentors and peers with clarity and precision, enhancing stakeholder understanding and fostering data-driven discussions.
Education
Ebonyi State University Abakaliki
Abakaliki, Ebonyi State, Nigeria
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Bachelor of Science
Political Science
Grade: Second class upper division
Languages
English
Certificates
Certificate Course in Business Analysis
Issued By
Certification Edge
Designing and implementing a Data science solution on Azure
Issued By
Microsoft
Microsoft Azure Data Fundamentals
Issued By
Microsoft
Data Science Certificate of completion
Issued By
National Information Technology development Agency
Human Resources Analytics
Issued By
University of California, Irvine
Google Data Analytics
Issued By
Google (Coursera)
Professional Skills for the Workplace
Issued By
University of California, Davis
Skills
Data Analysis & Business Intelligence
SQL (Advanced querying, joins, subqueries, CTEs, window functions, data cleaning, aggregation), Power BI (DAX, Power Query, Data Modeling), Tableau (basic), Microsoft Excel (pivot tables, macros, power queries, Vlookup), Azure, Google Sheets, Data Cleaning, Automated Dashboards & KPI Reporting, Data Storytelling & Insight Communication, Business Intelligence, Exploratory Data Analysis (EDA), Regression Analysis, Trend Analysis, Segmentation & Retention-style Analysis.
Programming
Python (Pandas, NumPy, Matplotlib, Seaborn), Machine Learning (classification models, data preprocessing, feature selection, evaluation).
Core Competencies
Statistical Analysis, Financial Modeling & Forecasting, Problem Solving, Analytical Skills, Growth Mindset.
Soft Skills
Accountability, Resilience, Adaptability, Diversity, Excellence, Leadership, Presentation Skills, Effective Communication, Cross-functional Collaboration, Stakeholder Management.
References
Reference Available on request
Reference Available on request