Data Quality Analyst

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Role Description

• Data Quality is a group of people that play a mediating and collaborating role between business, our clients and IT. This middle ground determines the calibre of person that would fit the role to be a strongly technical as well as business minded. Often this type of person is categorized as an intrapreneurial.
• Primary responsibility is to gather Data Quality Requirements to support the activities of client data clean up initiatives using best practice and data cleansing techniques within the team supported technologies. Identifying data issues, defining 'state of the data' metrics, building dashboards, performing the data clean ups and driving Root Cause remediation. This will require the candidate to have good interpersonal skills to guide and make recommendations on best practice techniques to a strongly business minded audience.

Organisational Design

• Data Quality Services sits within the CIO function of FNZ.
• This position is part of the regional Production Support department and reports to the Data Quality Product Owner/Team Lead.
• The role is located in Johannesburg.

Team Responsibilities

• Project Support – ensure that the data master lists are maintained and are aligned with the regulatory requirements and performing the relational clean ups
• Data Issue Management – analyse, investigate, and allocate for resolution and closure for all data related issues
• Change Management – support guidance for testing and release process for production fixes
• Project Handover – facilitate the transition between project support and production support for all changes
• Support business and clients with data related issue extracts
• Build and maintain health check dashboards

Specific Role Responsibilities

• Production Support – ensure that the production master lists are aligned and tend to production issues linked to data quality issues
• Data Issue Management – analyse, investigate, and allocate for resolution and closure for all data related issues
• Service Support - support the Service Managers in delivering FNZ services within KPIs, SLAs and contractual obligations
• Monitor and contribute to the root cause register to maintain the quality of information on the issue log to allow for full investigation, resolution, and closure of all data related issues
• Diagnosis and Problem Solving: Identify, troubleshoot and resolve production issues resulting in Data Quality issues, including business process and system related causes.
• Work with developers, analysts, testers, business analysts and project managers to ensure that production fixes and business process changes are fit for purpose
• Project Handover – facilitate the transition between project support and production support for all changes
• Change Management – support testing and release process for production fixes
• To undertake any other projects/ tasks as may reasonably be required to facilitate the smooth operation of the production environment and strategic deliverables

Performance Assessment

• KPI reporting – data issue management performance against KPIs
• Availability – uptime during core and non-core hours (project dependant)
• Performance – performance metrics during core and non-core hours
• Reliability – test results and performance during real failure events

Skills and Experience required

• Matric essential
• SQL
• Power BI
• Formal business/technical analysis training
• Data integration concepts (ETL/ELT)
• RDBMS architecture
• Relevant data certifications advantageous (DAMA certified)
• Technical degree or diploma (in related industry) advantageous
• Analytical thinking, problem solving, highly logical and keen attention to detail
• Good communication skills (verbal and written)
• Good interpersonal skills
• Ability to learn quickly in a dynamic fast-paced industry.
• Enjoy working as part of a high-performance team.
• Passionate about creating innovative solutions for clients.
• Highly self-motivated and directed, confident, independent, able to take initiative and with a delivery focused working style.
• Ability to effectively prioritize and execute tasks in a high-pressure environment.
• Excellent organisational, administration and time management skills.
• Interest / familiarity with financial markets and products.

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