Data Analyst

Data Analyst
ID : 1686
Education level  : Bachelor's degree
Work experience level  : Intermediate- (2-4 year experience)
Work experience in total  : Years
Job type  : Online
Job time  : Maandelijks
Last date of registration :
Profile description
Work experience In details :
Job position
Job description

Data Analyst - Greater Washington Logistics, Lagos - (March 2022 - Present)

  • I built various reporting Templates on Google sheet Involving conditional formatting, data validation and advanced formulas to make data entry easier and accurate.
  • I created visualizations on power BI and interactive dashboards on excel to present the company's monthly financial report and visible trends to be noted.
  • I carried out data mining on Addresses sent from the Nigeria immigration Service (NIS) to the company's receiving platform for verification. I cleaned and organized the data, filtered out incorrect address using excel formulas and sent them out for verification.
  • I performed Service and Quality Assurance (SQA) Analysis on Union Bank branches SQA project. I created SQA grids and grading template. I created charts to visualize individual branch performance, collective state performance and regional performance for different grading sections.

Data Entry Officer - Morin.O, Lagos - ( November 2021 - April 2022)

  • I entered daily company inflows and outflows on excel spreadsheet
  • I took inventory of Materials
  • I performed advanced calculations involving multiple worksheets in excel to determine the company’s profits and expenses

Data Analyst  - MacNelly Foods, Lagos - (September 2019 - July 2020)

  • I extracted company’s sales and customer report from excel into Microsoft SQL server, I created databases and tables on SQL to store data.
  • I created and Interpreted visualizations gotten from the company's sales and revenue making it easier for the company to implement future decisions on products.
Hard skills
  • Languages
    • Python (Pandas, Numpy, Matplotlib,
  • Database
    • MySQL
    • Microsoft SQL Server
  • Tools
    • Microsoft Excel
    • Google Sheets
    • Jupiter Notebook
    • SPSS
  • Visualizations:
    • Tableau
    • Microsoft Power BI
Soft skills
  • Excel for Business Specialization
    • University of Rice, USA, offered through Coursera
  • Business Metrics
    • Duke University, USA, offered through Coursera
Special notes

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