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Data Analyst

Closing: Apr 30, 2024

10 days remaining

Published: Apr 3, 2024 (17 days ago)

Job Requirements

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Job Summary

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Qualifications and Skills
  • A Degree in Data Science, Computer Science, Statistics, Mathematics, Economics or other relevant fields is required.
  • At least one year of Data Analysis experience using Microsoft Excel, SQL, Power BI and Google Sheets.
  • Knowledge of statistical methodologies is an added advantage.
  • Relevant Data Analytics Certification (Google Data Analytics Professional Certification or Microsoft Data Analyst Associate Certification) is a must.
  • Excellent numerical and analytical skills are required.
  • Excellent written, oral, data and graphical communication skills.
  • Strong mathematical, logic and statistical skills.
  • Adept at queries, report writing and presenting findings.
Responsibilities
Qualifications and Skills
  • A Degree in Data Science, Computer Science, Statistics, Mathematics, Economics or other relevant fields is required.
  • At least one year of Data Analysis experience using Microsoft Excel, SQL, Power BI and Google Sheets.
  • Knowledge of statistical methodologies is an added advantage.
  • Relevant Data Analytics Certification (Google Data Analytics Professional Certification or Microsoft Data Analyst Associate Certification) is a must.
  • Excellent numerical and analytical skills are required.
  • Excellent written, oral, data and graphical communication skills.
  • Strong mathematical, logic and statistical skills.
  • Adept at queries, report writing and presenting findings.

Job Description

  • We are looking for an experienced Data Analyst who has analytical and problem-solving skills.
  • He/she will gather data from various sources and then review and interpret it using data analysis tools to provide meaningful information and insights to help businesses make better-informed decisions.

Duties

  • Acquire data from primary or secondary data sources and maintain databases/data systems.
  • Interpret data, analyze results using statistical techniques and provide ongoing reports.
  • Performing data cleaning and analysis to assess and improve the quality and meaning of data
  • Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets can be helpful for the diagnosis and prediction
  • Analyzing local, national, and global trends that impact both the organization and the industry
  • Preparing reports for the management stating trends, patterns, and predictions using relevant data
  • Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.

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