Summary
Date Posted: Wednesday, August 09 2023, Base Salary: Not Disclosed

JOB DETAILS:
Key Roles and responsibilities
• Data Pipeline Development: Design, develop, and maintain scalable data pipelines to efficiently collect, process, and transfer data from various sources into data storage and analytical systems.
• Data Modeling and Architecture: Create and optimize data models to support data analytics and reporting needs, ensuring data accuracy and integrity.
• Data Collection and Entry: Coordinate the collection and entry of data from various sources, ensuring accuracy, completeness, and adherence to established data standards. Provide ad-hoc support to H3SE in creation of various reporting tools/templates.
• Data Integration: Integrate data from diverse sources, including structured and unstructured data, APIs, and external databases, to build comprehensive data solutions.
• Database Management: Administer and maintain databases, both relational and NoSQL, ensuring data security, availability, and performance. Ensure the ongoing accuracy and integrity of data by updating records and resolving discrepancies as needed.
• Data Transformation and ETL: Develop Extract, Transform, Load (ETL) processes to clean, transform, and standardize data for analysis and reporting.
• Data Validation and Quality Assurance: Implement data quality checks and perform regular data validation checks to identify and rectify inconsistencies, errors, or missing information in datasets, ensuring high data accuracy and reliability.
• Data Compliance: Adhere to data protection and privacy act as well as relevant company data and security policies to ensure compliance with relevant regulations and protect sensitive data.
• Data Training and Support: Provide guidance and support to colleagues on data entry protocols and best practices to maintain data quality. Provide Audit support as and when required by providing the required data.
• Reporting and Documentation: Generate routine and ad-hoc reports based on data analysis findings, and maintain documentation related to data collection and management processes. Preserve and file appropriately all hard copies of related documents in line with company procedure.
• Data Coordination: Collaborate with cross-functional teams to facilitate data-related activities and support data-driven decision-making.
• Continuous Improvement: Identify opportunities to enhance data management processes and contribute to the development of data governance best practices. Coordinate between the affiliate and the service provider for any relevant systems requirement upgrades and have them reviewed and approved by relevant department heads.

Key Qualifications and competencies:
Qualification:
• Bachelor's degree in Computer Science, Information Management, Data Science, or a related field. Added advantage master’s degree and certifications in relevant data engineering technologies or cloud platforms.

Experience:
• Proven experience (5-7 years) as a Data Coordinator or in a similar role, handling large-scale data projects and working with big data technologies.
• Experience with data visualization tools and data reporting platforms (e.g., Power BI) for creating interactive data dashboards.
• Strong understanding of database design Principles, data modeling concepts, as well as data mapping techniques and data architecture.
• Knowledge of data governance principles and practices
• Previous experience in the use of data management software or relationship management systems.
• Experience with ETL tools and workflows for data integration and data transformation.
• Excellent problem-solving skills and the ability to analyze and optimize complex data workflows.
• Strong communication and teamwork skills to collaborate effectively with multidisciplinary teams.
• Ability to work under limited supervision


Work Hours: 8

Experience in Months: 84

Level of Education: Bachelor Degree

Job application procedure

All candidates who meet the criteria outlined as above are encouraged apply under the job vacancy “QSSU-TOTAL-DOC-DATA COORDINATOR”

Application Link:
https://qsourcingservtec.applytojob.com/apply/A6SrT8elPW/QSSUTOTALDOCDATA-COORDINATOR 

Note:

Deadline for applications is not later than 08:00 am 11th August 2023

Only shortlisted applicants will be contacted.


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