Position: Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 2

I analyzed and interpreted data using dashboard to enhance marketing strategy, increased sales by 10% and refined customer onboarding.

I conducted research, analyzed, and interpreted data to improve the efficiency of internal business processes, and reduced the operating costs by 15%.
Work Experience

Fichaya Lifestyle Technology Ltd, Lagos, Nigeria 2021 – Present
Data and Operations Analyst
Experienced in collating and documenting both functional and non-functional requirements.
Determined appropriate methods to analyze operations, relevant information, and data.
Documented findings, prepared reports, and made recommendations.
Developed new processes and procedures to enhance operations.
Determined the effectiveness of new processes with the use of data.
Performed exploratory data analysis to identify trends and patterns.
Created data visualizations to communicate findings to management.
Designed and implemented reporting dashboards to track KPIs.
Helped develop reports.
I delivered my tasks and projects with Microsoft Excel, Google sheet, and Power BI

Dataalcomms Ltd, Lagos, Nigeria 2019 – 2021
Data Analyst (Technical Partner)
Collected, processed, and cleansed data from sources
Performed exploratory data analysis to identify trends, patterns, and relationships.
Created data visualizations to communicate findings to the team lead and management.
Designed and implemented reporting dashboards.
Trained end-users on new reports and dashboards.
Managed master data, including creation, updates, and deletion.
Maintained up-to-date knowledge of industry best practices in data management and analysis.
Helped develop reports.
I delivered my tasks and projects with Microsoft Excel

Projects

Exploratory data analysis of shopping mall sales records in Python and Panda -- 2022
This project was about analyzing and interpreting the sales records based on gender, payment channels, products, and time period of the day.


Nigeria COVID-19 Data Analysis and the Economic impact using Python and Pandas -- 2022
Extracted and scrapped data from primary and secondary sources such as NCDC website, Nigeria Community Vulnerability Index data, and Real Domestic 
Gross Product Data.
Performing analysis to clean and assess the quality of data.
Using Pandas to identify, analyze, and interpret the data and use data visualization to show the insights from the analysis performed.
Generating a report on the impact of COVID-19 on the local economy.