DATA ANALYST (Guyana)

  • Business Development, Professional Services
  • Full time
  • Opportunities Abroad
  • 10/03/2025

Job Overview

Date Posted:
Posted 10/03/2025
Experience:
Entry Level
Salary:
Undisclosed
Location:
Opportunities Abroad
Expiration date:
10/18/2025

Please note: This role is for Guyanese nationals only.

Job Summary: - As a Data Analyst at Muneshwers Limited, you are responsible for gathering, cleaning, analyzing, and interpreting data to uncover meaningful insights and support decision-making within an organization. They translate raw data into actionable information that can be used to solve problems, identify trends, and improve business performance. 

 Key Responsibilities:

  • Data Collection:
    Data analysts gather data from various sources, including databases, spreadsheets, surveys, and other systems. 
  • Data Cleaning and Preparation:
    This involves identifying and correcting errors, handling missing values, and transforming data into a usable format. 
  • Data Analysis:
    They use statistical techniques and analytical tools to explore data, identify patterns, and uncover relationships. 
  • Data Visualization:
    Analysts create charts, graphs, and dashboards to present data findings in a clear and understandable way. 
  • Reporting and Communication:
    They communicate their findings to stakeholders through reports, presentations, and other means, helping them understand the data and make informed decisions. 

Key Skills:

  • Analytical Skills:
    The ability to interpret data, identify trends, and draw meaningful conclusions. 
  • Technical Skills:
    Proficiency in using data analysis tools like SQL, Excel, and programming languages like Python or R. 
  • Communication Skills:
    The ability to effectively communicate findings to both technical and non-technical audiences. 
  • Problem-Solving Skills:
    The ability to identify and solve problems using data analysis. 

In essence, data analysts act as a bridge between raw data and actionable insights, helping organizations make better decisions based on evidence