Data Analyst - Value Realisation

Requisition Details & Talent Acquisition Specialist

REQ 141039 - Keabetswe Modise
Closing Date: 04 August 2025

Job Family

Information Technology

Career Stream

Data

Leadership Pipeline

Manage Self: Professional (MSP)

Overview

The Group Data Analytics  function is looking for a strategic and analytical Data Analyst-  Value Realisation to join our Value Realisation and Commercialisation stream. This role is central to quantifying the business value of data initiatives, supporting data commercialisation strategies, and ensuring alignment between data investments across functions and clusters as well as align to Nedbank’s strategic objectives. The successful incumbent will work across business clusters to identify high-impact opportunities where data can drive measurable financial and operational outcomes.

Job Purpose

To execute and oversee multiple complex projects as a Data Analyst in Group Data Analytics.

To ensure that relevant, high-quality data is available in a timely manner for various analytical processes. 

The data analyst is responsible for understanding the business requirements for data, the related data flow, business processes and systems that generate the data required as well as the properties, profile and behaviour of the data.  The primary goal is to enable the provisioning of the data into forms that make it usable for further analytical processing that enables decision-making processes and provides insights to business.

The Data Analyst is responsible to define and apply frameworks to measure the financial and operational value of data initiatives. Quantify the impact of data-driven projects on business performance (e.g., revenue growth, cost reduction, risk mitigation).

Through breadth of experience gained, support the professional development of junior data analysts through mentorship, perform quality reviews on team deliverables, and contribute to the overall data analysis practice as a key contributing member of the CoE. Where required, lead a team of data analysts fostering collaboration and maintaining high standards of work.

Job Responsibilities

• Perform data analysis activities across various squads, functions and clusters.  
• Support the development of business cases for data investments.
• Develop dashboards and reports to track data value metrics.
• Communicate findings through visualizations and executive summaries.
• Partner with business and technical teams to identify and prioritize data initiatives based on potential business value.
• Liaise with business stakeholders to elicit and understand data requirements and translate them into technical analytical tasks, aligning efforts with business needs.
• Responsible for unpacking and understanding data, from analysing data flows, to data profiling, in order to quantify the financial impact of data products, analytics solutions, and data governance efforts.
• Develop and maintain value frameworks, ROI models, and benefit realisation dashboards.
• Translate complex data insights into actionable recommendations for executives and business leaders.
• Track and report on the performance of data initiatives against KPIs and strategic goals.
• Contribute to the development of Nedbank’s enterprise data value management strategy
• Make data-driven recommendations for data provisioning enhancements (data cleansing, transformation, and validation) based on discovery insights.
• Using data profiling techniques, contribute to the definition of data standards and identify potential data quality issues, report on and  propose possible solutions.  Where applicable, drive or participate in cleansing initiatives.
• Drive understanding of the purpose, behavior, and user interactions with the data to optimize self-service offerings and improve Nedbank users' experience in accessing data, provide support to users in understanding and accessing data.
• Ensure data analysis deliverables are delivered according to project plan and budget to meet commitment to stakeholders. 
• Collaborate with various teams including Data Modelers, Data Engineers,Data Architects, Data Governance to align data discovery insights and implement complex data solutions.
• Ensure that data analysis activities adhere to regulatory requirements, maintaining compliance with all relevant data policies, privacy standards, and ownership guidelines.
• Utilize data discovery and profiling tools to enhance the data profiling process.
• Execute advanced SQL queries and other technical analyses to support data investigation and reporting.
• Develop and execute comprehensive data quality checks to identify anomalies or inconsistencies in data, and identify patterns, relationships, and trends that impact data management and utilization.
• Maintain up to date knowledge of latest developments in the Data Analysis domain, including reading; continuous professional development courses; seminars and conferences.
• Support the achievement of the business strategy, objectives and values.
• Contribute to the Nedbank Culture building initiatives (e.g. staff surveys etc.).
• Participate and support corporate responsibility initiatives for the achievement of Identify and drive opportunities to improve business processes, models and systems though agile thinking.
• Provide Overall Data Management Guidance and alignment to Nedbank's Data Management framework and standards.
• Perform review on work performed by team members as well as review and govern work performed by other data teams.
• When required, lead a team of Junior data analyst and manage day-to-day activities, allocation, growth and development.
• Mentor, guide, and provide training to  junior and entry-level Data Analysts to enhance their analytical and technical skills.    

Essential Qualifications - NQF Level

• Advanced Diplomas/National 1st Degrees

Preferred Qualification

• Field of Study-BSc, BCom.
• Bachelor’s or Master’s degree in Accountancy, Actuarial Science Finance, Economics, Data Science, Business Analytics, or a related field.

Preferred Certifications

• Data Analysis and Data Modelling
• Cloud (Azure, AWS)
• DEVOPS or Data engineering certification
• DAMA
• Any Data Science certification
• SAS certification
• SQL
• Any Microsoft Power tools will be an added advantage

Minimum Experience Level

• Total number of years of experience: 6 Years
• Proficiency in SQL and experience with database management and data profiling tools.
• Skills in cleaning and preparing data for analysis to ensure accuracy and consistency
• Experience with data warehousing solutions to store and manage large volumes of data Firm understanding of ETL processes and data integration concepts.
• Firm understanding of data management and governance practices.
• Experience with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus.
• Basic knowledge of data modeling and data warehouse architectures (e.g., star schema, snowflake schema).
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills and ability to work collaboratively in a team environment.
• Experience with leading teams of Data Analysts 

Technical / Professional Knowledge

• Data Warehousing
• Data profiling - intermediate
• Data Visualisation
• Data Governance and Compliance
• Data Pipelines and ETL tools (Ab Initio, ADB, ADF, SAS ETL)
• Databases (PostgreSQL, MS SQL, IBM DB2, HBase, MongoDB)
• Programming (e.g., Python, R)
• Cloud Data Engineering (Azure , AWS, Google)
• Data Analysis and Data Modelling

Behavioural Competencies

• Technical/Professional Knowledge and Skills
• Innovation
• Decision Making
• Collaborating
• Planning and Organizing
• Continuous Learning
• Business Acumen

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Please contact the Nedbank Recruiting Team at +27 860 555 566