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.Description
The Data Quality Assistant will perform all routine tasks related to data accuracy, validation, and consistency to ensure that datasets meet established quality standards.
He/she will be responsible for reviewing, cleaning, and maintaining datasets, identifying and resolving data errors, and supporting teams with accurate and reliable data for reporting and analysis.
The role requires attention to detail, strong analytical thinking, and the ability to work independently with minimal supervision in a remote environment.
Responsibilities
Reviews, validates, and cleans datasets to ensure accuracy, completeness, and consistency.
Monitors and enforces data quality standards across various data sources.
Identifies and resolves data anomalies, duplicates, and inconsistencies.
Supports the development of data dictionaries and documentation of data sources.
Collaborates with analysts and developers to ensure datasets are optimized for reporting and dashboard creation.
Conducts regular audits of organizational data to detect and correct errors.
Assists in the implementation of data quality improvement initiatives.
Prepares summary reports on data quality trends and issues.
Supports end-users with data extraction and preparation for analysis.
Ensures compliance with data governance and privacy policies.
Qualification and Skills
A Degree in Information Technology, Computer Science, Statistics, Economics, or related fields is required.
At least three (3) years of experience in data quality, data analysis, or data management.
Proficiency in data cleaning tools and methods, including Excel, SQL, and Power Query.
Experience with data visualization tools (such as Power BI or Tableau) is an added advantage.
Strong understanding of data governance and data quality frameworks.
High attention to detail and accuracy.
Strong analytical, problem-solving, and critical-thinking skills.
Excellent written and verbal communication skills.
Ability to work independently and manage multiple priorities effectively.
Resourceful, organized, and self-motivated with a strong commitment to quality.
