Chiemerie Favour Onyeanusi

I am an entry-level Data Analyst with hands-on training in Excel, Power BI, SQL, Python, and Tableau, focused on transforming raw data into clear, actionable insights that support business decision-making. I recently completed a data analysis program where I worked on practical projects involving real-world datasets and dashboard creation.

I have strong skills in data cleaning, analysis, and visualization. Using Excel, I handle data preparation, pivot tables, and KPI tracking. With Power BI and Tableau, I create interactive dashboards that highlight trends, patterns, and performance metrics. I also use SQL to query, filter, and aggregate data from relational databases, and Python for data manipulation and analysis using libraries such as pandas and NumPy.

Throughout my training, I analyzed datasets related to sales, customers, and operations to answer business questions and provide data-driven recommendations. These experiences helped me develop the ability to understand business requirements, select relevant metrics, and present insights in a clear and structured manner. I place a strong emphasis on data accuracy, data quality, and effective data storytelling.

I am detail-oriented, analytical, and comfortable working independently in remote environments. I manage my time effectively, meet deadlines consistently, and communicate clearly with clients and team members. I am eager to continue developing my skills and applying data analysis to solve real business problems.

As a freelancer and remote professional, I am open to short-term tasks, long-term projects, and ongoing data support roles. My goal is to help businesses track performance, uncover trends, and make informed, data-driven decisions through reliable and insightful analysis.