Data Quality Development Analyst

Client of Eram Talent

Key Responsibilities

• Responsible for designing, testing, deploying and documenting the data quality procedures and their outputs
• Design processes and technology to enable the client to leverage the enterprise data for business intelligence purposes.
• Define the data policy, standards and guidelines and ensure consistency.
• Coordinate with Master Data Quality Manager and define metadata repository for digitally and physically storing and cataloguing data.
• Design master data management to provide processes, governance, policies, standards and tools to define and manage master data.
• Define quality assurance policies and standards to ensure consistency in business intelligence reports.
• Identify and highlight issues related to data quality in order to improve accuracy of reports leading to proper decision making.
• Liaise with Master Data Quality Manager to provide support in development, operations and maintenance of dashboards and reports in the Technology environment.
• Install business intelligence tools and configures hardware and software components.
• Perform users administrator setup and provides continuous support for maintenance.
• Perform business intelligence performance tuning to ensure optimal performance.
• Recommend training and development interventions for team members to build their capabilities.
• Contribute to the identification of opportunities for the continuous improvement of systems, processes and practices to increase productivity and operational efficiency.
• Implement all relevant Department s policies, processes, procedures and instructions so that work is carried out in a controlled and consistent manner.
• Contribute to the preparation of timely and accurate reports to meet departmental requirements, policies and standards.

• Bachelor s degree in information technology, or equivalent from a recognized and accredited university is required.
• 5+ years of experience in data analysis, data quality, or a similar role.
• Knowledge of Data Quality principles, policies and procedures.
• Knowledge of Data Quality tools.
• Strong understanding of data governance, data quality metrics, and data management principles.
• Experience with data profiling tools and techniques.
• Proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI).
• Strong analytical and problem-solving skills.
• Excellent communication skills and ability to work collaboratively with diverse teams.
• Detail-oriented with a strong focus on data accuracy and reliability.