eHealth4everyone is a leading digital health social enterprise dedicated to making the world healthier. We are a new kind of mission-driven organization with services, expertise and products focused on making the business of healthcare delivery work for everyone, through technology-enabled optimizations. We believe that if health is a right, proven digital health solutions and expertise such as ours should not be a privilege. Working with participants across the spectrum of healthcare, from individuals, healthcare providers, government departments and stakeholders, insurance organizations, pharmaceutical companies, and various private sector players, we enable high performance across the continuum of healthcare delivery and management.
- 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.
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.
Method of Application
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