Purpose of the job
The Data Quality Analyst will be responsible for data quality monitoring and issue management, establishing data quality processes and standards, and ensuring the accuracy, completeness, consistency and integrity of data assets within the bank. With a strong data oriented and risk control mind-set. This role aims to increase the efficiency and effectiveness of bank operations by establishing a data quality remediation plan, design the data quality controls and provide regular data quality reporting to relevant stakeholders.
Key accountabilities not limited to:
- Develop and implement a data quality strategy aligned with the bank’s data management strategy, and overall business goals and objectives
- Set overall strategy for master data management and define and implement master data management metrics
- Work with business units and data stewards to gather and understand data requirements
- Collaborate with business units and stakeholders to define data quality, identify data quality issues, and prioritize them based on the severity and impact
- Define the data quality policies, standards, and procedures
- Define data quality metrics and KPIs, and perform continuous monitoring to track the data quality over time and ensure data quality thresholds are met
- Conducting data profiling and assessment to identify data quality issues and anomalies
- Monitor and report on data quality issues across the bank for designated critical data elements (CDEs)
- Develop and implement data validation and verification processes to ensure the accuracy and completeness of data for both regulatory and management reporting
- Set up data quality monitoring tools (e.g., reports, dashboards, workflow, etc.) within the data lifecycle stages as necessary for the data quality monitoring process
- Oversee data quality issue management process and maintain repository of issues for use in monitoring and tracking of data quality initiatives
- Conduct root cause analysis to determine underlying cause of data quality issues and recommend the remediation strategies
- Coordinate with various business units/stakeholders to design the remediation plans and implement the plans to rectify data quality issues in a timely and efficient manner
- Recommend enhancements to record systems, as well as data acquisition processes to improve the quality of data.
- Conduct user acceptance testing (UATs) as required and validate the data quality issues have been remediated effectively
- Maintain documentation of data quality issues and remediation plans, including issue logs, pain points, business requirements, action items and progress reports.
- Deliver data quality improvement initiatives as defined, agreed and prioritised
- Support in evaluation, selection, and implementation of the data governance tools and technologies that support data governance initiatives.
- Engage and utilise the data governance and stewardship committee to prioritise issues and raise the visibility of data quality
Experience:
- Experience in data analysis and data management, including working with data quality rules and data mapping
- At least 3 years’ experience of SQL query writing and optimization
- Knowledge of statistical methods and tests will be an added value
- Expertise working with data analytical tools such as python and R
- Experience in data management tools and databases such as Oracle, PostgreSQL or MS SQL
- Experience using data visualization tools such as Power BI to create dashboards and visual reports
Qualifications:
- Bachelor’s degree in Information Technology, Data Science, Computer Science, Engineering or related field preferred
- Certifications in industry data governance related programs such as Certified Data Management Professional (CDMP) or Certified Information Management Professional (CIMP) or Certified ISO 8000 professional
Knowledge:
- Knowledge of data governance principles and practices, including data policies, standards, and procedures
- Knowledge of data modelling and database design
- Proficiency in relevant data quality tools and technologies
- Knowledge of industry leading data quality and effective data management practices
- Ability to analyse complex data sets, identify patterns and draw insights to support data quality improvements
- Ability to synthesize and analyse diverse data, and subsequently develop and recommend strategies
- Exposure to data quality frameworks and working in a regulated environment
- Analytical with good project management and team leadership skills
- Advocate for good data management practices
Expression of Interest
- Bank of Kigali Plc is an equal opportunities employer and is committed to the full inclusion of all qualified candidates. Women are encouraged to apply.
- Submit your CV to recruitment@bk.rw by 15th January 2024.
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