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12 Community Empowerment Lab Jobs
Data Management and Quality Assurance
1-3 years
Varanasi, Kanpur, Lucknow
1 vacancy
Data Management and Quality Assurance
Community Empowerment Lab
posted 9d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Who are we looking for?
CEL is now looking for Data Management and Quality Assurance personnel. We are building a dedicated data management, analytics and quality assurance team to manage primary data collection, data storage and analysis, and data quality for all the projects. You will be at the center to our data team, watching the flow of data, ensuring gold standard data quality, and helping to channel data for decision-making.
Since our study area consists of families that have Hindi as their native language - communication in Hindi and local dialect would be desirable. Proficient communication in English would be appreciated for engaging in formal communication, especially with our foreign partners, stakeholders, etc.
Scope of Work
Database design and management
Collaborate with research team members to prepare of data dictionary, and QA framework outlining standards.
Design the digital data collection application ensuring inbuild accuracy, completeness, and consistency in data collection.
Implement quality control measures, validation checks, and error detection protocols.
Design and implement database structures optimized for efficient data storage, retrieval, and management, considering factors such as data normalization, indexing, and scalability.
Manage the life cycle of reference and master data issues from identification, analysis, phased introduction, prioritization, and planning of the integration of the data into subscribing nodes.
Data Documentation, Security and Confidentiality
Maintained detailed documentation of data collection procedures, variable definitions, and data transformation processes.
Implement security measures to protect research data from unauthorized access, disclosure, or loss.
Ensure compliance with data protection regulations and institutional policies governing data security and confidentiality.
Dashboard and Data Analysis Support
Support in study dashboard designing.
Prepare datasets for sharing and dissemination according to research protocols and data-sharing agreements.
Archive research data in repositories or data archives for long-term preservation and access.
Perform data cleaning and preprocessing tasks to identify and correct errors, inconsistencies, and missing values in the dataset.
Standardize data formats and resolve discrepancies to maintain data integrity.
Collaborate with researchers to prepare datasets for analysis, including data merging, transformation, and aggregation.
Provide support for statistical analysis, data visualization, and interpretation of research findings.
Compliance and Ethics Oversight
Ensure research data management practices comply with relevant ethical guidelines, regulatory requirements, and institutional policies.
Provide training and support to research team members on data management best practices, tools, and procedures. Offer guidance on data documentation, entry, and quality assurance processes.
Quality Assurance
Develop data quality plans and protocols to guide data collection, processing, and analysis.
Conduct regular quality control checks to monitor the accuracy, completeness, and consistency of research data. Implement validation checks, range checks, and error detection protocols to identify and correct data anomalies.
Conduct periodic audits of research data and processes to assess compliance with QA standards, regulatory requirements, and best practices. Identify areas for improvement and recommend corrective actions to enhance data quality and research integrity.
Conduct regular meetings with data collection team to give the feedback to improve the quality.
Develop risk mitigation strategies and contingency plans to minimize the likelihood of errors.
Communicate QA results, recommendations, and best practices to stakeholders, research sponsors, and regulatory authorities.
The Data Management and Quality Assurance role will have significant responsibilities in the analytics team.
Travel: Willingness to travel to the field as per requirement.
Qualification and Experience
Bachelor's degree in Engineering/Computer Science/Information Technology, or related subject plus three Years experience OR Post graduate degree in technology or relevant subject.
Necessary knowledge and skills
Good hands-on experience in data management systems i.e. e.g., SQL Server, MySQL, SQL queries, and ETL processes.
Past experience with data cleaning techniques, tools, and algorithms for identifying and correcting errors, inconsistencies, and missing values in datasets.
Knowledge of data security principles, encryption methods, and regulatory requirements governing the handling and protection of sensitive research data.
Familiarity with statistical analysis techniques and software (e.g., SPSS, R, Python) for conducting descriptive and inferential analyses of research data is desirable.
Experience in the ethical use of AI tools in research (chatGPT etc.)
Effective communication skills to collaborate with interdisciplinary research teams, convey technical information clearly, and provide training and support to non-technical users
Strong problem-solving skills and analytical thinking to identify and resolve data management issues, optimize database performance, and address data-related challenges.
Keen attention to detail and accuracy in data management processes to maintain data integrity, quality, and reliability throughout the research project lifecycle.
Proficiency in data quality management principles, methodologies, and tools for assessing, monitoring, and improving data quality.
Requirements
Bachelor's degree in Engineering/Computer Science/Information Technology, or related subject plus three Years experience OR Post graduate degree in technology or relevant subject.
Bachelor's degree in Engineering/Computer Science/Information Technology, or related subject plus three Years experience OR Post graduate degree in technology or relevant subject.
Employment Type: Full Time, Permanent
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based on 11 employees
Flexible timing
Monday to Saturday
Within country
Day Shift
Community Empowerment Lab Benefits
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