Job ID: 30647 Location: Lagos Island, Lagos Job Sector: Banking Job Details
Operations: a range of essential and complex services to ensure processes across the bank work as effectively and efficiently as possible.
Job Purpose
Evaluate Stanbic IBTC data sets for quality and accuracy by ensuring that there’s minimal Business impact level for data quality issues.
Continuously review the counterpart information in the Client Information File (CIF), regulatory, credit and other core systems across the Group by ensuring that Data Governance and Quality is established and monitored through people, process and technology.
Play a strategic role in the data governance strategy for data quality management, consistency, usability, security, currency, and data availability to the organization and customers.
Key Responsibilities Establish a standardized Data Quality Management Program:
Ability to understand business process flow and translate that into data quality measurement requirements.
Determine data quality improvement recommendations as well as process improvement recommendations for the source systems.
Collaborate directly with the Business Data Owners and Data Governance Specialist to establish the business rules that will provide the foundation of the organization’s data quality improvement plan.
Measures:
Approved and signed off defined data standards and business rules
Consistent data quality for all tracked metrics
Number of recurrent data quality defects
Assess and remediate Data Quality issues across all Data Domains:
Determines data needed to be collected and the appropriate data sources for reports requested by business stakeholders.
Works with relevant stakeholders in Enterprise Data Office and IT to identify appropriate data sources.
Works on multiple relational database types
Demonstrated ability to effectively participate in multiple and concurrent projects
Develop and maintain robust and effective review procedures to support universal bank’s data quality.
Assist the department head on critical projects and tasks.
Measures:
Level of accuracy of reporting outputs as determined by stakeholder feedback
Successful remediation of data issues identified during data analysis
Documentation of all Data Domains.
Establish and implement standards to promote Data Management:
Develop and Implement Meta/Master Data, Reference Data, Data Taxonomy and Data Lineage framework for SIBTC Group.
Gather meta data and document the data lineage from source systems to downstream data consumers
Articulate the need for and benefits of data quality to both IT and Business
Provide expert judgements in the bank to address reporting issues at a root cause level.
Measures:
Stakeholder feedback
Level of contribution in engagements with stakeholders
Adherence to SLA’s with stakeholders
Engage relevant stakeholders on all Data Quality Management:
Assists with the design of training materials for use by a wide range of stakeholders.
Conducts training for stakeholders through the use of available tools and resources such as online training and educational workshops.
Takes personal responsibility for assisting others in the team so that team goals can be achieved.
Responsible for promoting a culture where the values of the Bank are seen to be ‘alive’.
Measures:
Stakeholder feedback
Level of contribution in engagements with stakeholders
Adherence to SLA’s with stakeholders
Evidence of value added to business stakeholders through the usage of reporting outputs
Relationships Business area: Data Enablement:
Nature of relationship: Receive a service from them
Description or examples: Provides the team with data required in order to fulfil the requirements of stakeholders
Responsible for ensuring that the data enablement team sources all data requirements at the appropriate level of detail as stated in the BRD.
Business area: CIB, PBB and Wealth:
Nature of relationship: Provide a service to them
Description or examples: Provides reports and dashboards on measured metrics to the different business areas
Responsible for following up with business representatives to remediate identified data gaps.
Business area: Data Stewards:
Nature of relationship: Influence their service delivery
Description or examples: Collaborates with data owners and data stewards and provides adequate guidance on definition of business rules and data quality state.
Preferred Qualification and Experience Qualification:
B.Sc in Computer Science/BCOM Informatics/Engineering or Formal Degree with equivalent experience
Experience:
Minimum of 5 years’ experience as a Data Quality Analyst or Information Management or, Business Analytics, or Applications Analyst/Programmer/BI.
Demonstrated aptitude towards problem identification, resolution and comprehension and interpretation of technical and business procedures.
Requires sound knowledge of quality assurance methods and procedures as well as familiarity with full project life cycle development processes.
3+ years’ experience with SQL, Query Analyzer/PL SQL.
3+ years’ experience with Qlikview Design & Developer
3+ years’ experience with report development.
SAP experience advantage
Information Technology Regulatory Risk
Risk Management RDARR Principles
Data Management Management
3-4 Years experience in data profiling, remediation processes, customer data and information life-cycle, including product, sales, customer segmentation, channel, performance measurement, and scorecards.
Experience in managing stakeholders and meeting up their expectations.
Understanding of data quality management standards and best practices.
Basic understanding of the banking industry, balance sheet and income statement components and their relationship to business performance.
Knowledge/Technical Skills/Expertise Data Analysis:
Competency Description: Ability to analyse statistics and other data, interpret and evaluate results, and create reports and presentations for use by others.
Effective Business Communication:
Competency Description: The ability to communicate information and ideas in a clear and concise manner appropriate for the audience in order to explain, persuade, convince and influence others to achieve the desired outcomes.
Data Integrity:
Competency Description: The ability to ensure the accuracy and consistency of data for the duration that the data is stored as well as preventing unintended alterations or loss of data.
Knowledge Management Systems:
Competency Description: The knowledge and understanding of the IT systems and processes that are available to be used for the sharing, storing and retrieval of information in the organisation.
Financial Analysis:
Competency Description: An in depth, experiential understanding of more advanced analyses and the way in which financial ratios, trends, and business and value drivers interact.
Statistical and Mathematical Analysis:
Competency Description: The ability to build, analyse and interpret numerical and non-numerical data to determine potential risk exposure and statistical inferences to inform business decisions.
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