Data Analyst at eHealth4everyone

Job Overview

Location
Lagos, Lagos
Job Type
Full Time
Date Posted
3 days ago

Additional Details

Job ID
119435
Job Views
24

Job Description






Job Summary




  • 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



Responsibilities




  • 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.



Qualifications and Skills




  • A degree in data science, computer science, statistics, mathematics, economics or other relevant fields is required.

  • At least three(3) years of Data Analysis experience using Microsoft Excel, SQL, Power BI, Tableau 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.

  • Strong knowledge of GIS tools (ArcGIS or QGIs) is a plus

  • Excellent numerical and analytical skills are required. He/she must have excellent written, oral, data and graphical communication skills,

  • Strong math, logic, and statistical skills

  • Adept at queries, report writing, and presenting findings.



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