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.
Qualification 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 math, logic and statistical skills
Adept at queries, report writing and presenting findings.
