Job Purpose

• To support the automation of processes and process re-engineering initiatives to enhance service delivery
• To provide ad hoc strategic and operational support across business units to unlock operational efficiencies and identify process root cause analyses
• To support the development of ETL pipelines for the sourcing of data from MS Excel, SQL, CSV, JSON sources into data marts
• To recon and validate data across various data sources and provide critical feedback on the actions required to sustain data integrity
• To support the maintenance and development of data mart models
• To provide business intelligence reports and analyses to business

Job Responsibilities

• Ensure information is provided correctly to stakeholders by maintaining knowledge sharing knowledge with team.
• Structure data according to compliance standards by adhering to metadata governance procedures according to Nedbank documented standards and formats; and ensuring metadata is continuously up to date.
• Manage final transformed data content by complying to prescribed standards for reviewing and publishing.
• Govern the population of data mart and metadata repository by complying to standards; systems; processes and procedures.
• Align and continuously improve set processes by identifying innovation opportunities.
• Identify and recommend opportunities to enhance processes; systems and policies and support implementation of new processes; policies and systems.
• Deliver work according to customer expectations by prioritizing; planning and implementing requirements.
• Ensure work are delivered according to relevant technical standards
• Support business units by providing consulting services that delivers data and information relevant to their business
• Ensure customer needs are met through regular customer feedback sessions
• Manage vendor relationship interactions by conforming to vendor management office guidelines and principles.
• Manage vendor relationship interactions by conforming to vendor management office guidelines and principles.
• Utilize resources by adhering to standards; policies and procedures.
• Identify and mitigate risk by executing within governance.
• Resolve incidents by logging and tracking through correct channels
• Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from managers
• Ensure personal growth and enable effectiveness in performance of roles and responsibilities by ensuring all learning activities are completed; experience practiced and certifications obtained and/or maintained within specified time frames.
• Keep abreast of legislation and other industry changes that impacts on role by reading the relevant newsletters, websites and attending sessions.
• Understand and embrace the Nedbank vision and demonstrate the values through interaction with team and stakeholders.
• Contribute to internal and external information sharing sessions by attending formal and informal meetings.
• Contribute to a culture conducive to the achievement of transformation goals by participating in Nedbank Culture building initiatives (e.g. staff surveys etc).
• Participate and support corporate social responsibility initiatives for the achievement of key business strategies.

Experience Level

Minimum

• Minimum 5 years’ experience is in a data management / business role
• Data reconciliation and validation
• Developed and implemented data driven reports
• Transformation and normalisation of source datasets for analytical insights
• Manage internal process and process re-engineering
• Track record of using technology to optimise your work environment

Preferred

• You have improved processes and culture where you have worked
• You have built and maintained stakeholder relationships
• You have managed ETL pipelines and enabled data quality and validation
• You have supported the transformation, change and continued improvement of the tools and processes used

Essential Qualifications - NQF Level

• Advanced Diplomas/National 1st Degrees

Qualification Details

Qualifications (Essential)

• Provide a proven track record of managing big datasets in MS SQL Server using a proven framework (no less than 5 years’ work experience) or associated certifications in data management (MS SQL Server / Python / Azure or similar)
• Bachelors Degree in IT, Business Management, Mathematics, Statistics, Engineering, Economics, Finance, etc.

Qualification (Preferred)

• Post-graduate degree in IT, Business Management, Mathematics, Statistics, Engineering, Economics, Finance, etc.

Essential Certifications

• Certification relevant to data analytics, SQL, database management, Python, Git, etc.