Senior Data Analyst / Data Warehouse Assistant / Data Quality Analyst AssistantRole Description
The Senior Data Analyst / Data Warehouse Assistant / Data Quality Analyst Assistant is responsible for analyzing business data, supporting data warehouse operations, and maintaining data accuracy, consistency, and reliability. This role involves collecting, organizing, validating, and interpreting data to support reporting, business intelligence, and operational decision-making. The position works closely with relevant departments to maintain data integrity, improve reporting efficiency, identify data discrepancies, and ensure information is properly managed and accessible.
Key responsibilities include:
- Collect, consolidate, clean, and analyze data from multiple sources to support business reporting and operational requirements.
- Prepare regular reports, dashboards, summaries, and analytical findings for management and relevant departments.
- Assist in maintaining data warehouse structures, databases, data records, and information management processes.
- Perform data validation, reconciliation, and quality checks to identify missing, duplicate, inconsistent, or inaccurate information.
- Monitor data quality indicators and support the implementation of data standards, validation rules, and quality control procedures.
- Assist with data extraction, transformation, loading (ETL), and routine data processing activities.
- Support the maintenance and updating of datasets to ensure information remains accurate, complete, and current.
- Investigate data discrepancies, identify potential root causes, and coordinate corrective actions with relevant teams.
- Assist in developing and maintaining reporting templates, analytical tools, and automated data processing workflows.
- Ensure data is properly documented, organized, and maintained in accordance with company policies and data governance standards.
- Protect confidential information and follow applicable data security, access control, and privacy requirements.
- Collaborate with business and technical teams to understand data requirements and improve data accessibility and reporting efficiency.
- Identify opportunities to streamline data management processes and enhance the accuracy and reliability of business information.
Qualifications
- * Diploma or bachelor's degree in Data Analytics, Information Technology, Computer Science, Statistics, Information Systems, or a related field.
- Good understanding of data analysis, database management, data warehousing, and data quality principles.
- Proficiency in Microsoft Excel, including data cleaning, formulas, pivot tables, and reporting functions.
- Familiarity with SQL, database queries, and data extraction techniques.
- Knowledge of data visualization tools such as Power BI or Tableau is an advantage.
- Basic understanding of ETL processes, data integration, and data validation techniques.
- Strong analytical, numerical, and problem-solving skills.
- High attention to detail and a commitment to data accuracy and consistency.
- Good organizational, documentation, and time management skills.
- Ability to communicate findings clearly and collaborate effectively with different departments.
- Strong sense of responsibility when handling confidential information and business data.
- Willingness to learn new technologies, analytical tools, and data management practices.
