BI Data Analyst at Nedbank

Job Purpose

• To support the delivery of business intelligence and data analytics solutions by preparing, analysing, and visualising data to enable decision-making and performance tracking.
• The BI Data Analyst will work closely with business stakeholders to understand reporting needs, ensure data accuracy, and build dashboards and reports that provide actionable insights.
• This role is ideal for someone with foundational experience in BI tools and data analysis, looking to grow in a collaborative and data-driven environment.

Job Responsibilities

• Perform BI and data analysis activities across various squads/value chains.
• Liaise with business stakeholders to understand data requirements and translate them into technical tasks.
• Analyse data flows and perform profiling to troubleshoot issues and document findings.
• Conduct data testing and validation (e.g., error resolution, data quality checks, ingestion configuration).
• Make recommendations for data cleansing, transformation, and validation based on insights.
• Contribute to defining data standards and identifying quality issues.
• Support users in accessing and understanding data through self-service platforms.
• Deliver BI reports and dashboards using tools like Power BI and Tableau.
• Collaborate with Data Engineers, Modelers, Architects, and Governance teams to implement solutions.
• Ensure compliance with data policies, privacy standards, and governance frameworks.
• Execute SQL queries and technical analyses to support reporting and investigations.
• Identify patterns and trends that impact data management and utilization.
• Stay current with BI and data analysis trends through continuous learning.
• Contribute to Nedbank’s culture and participate in corporate responsibility initiatives.
• Identify opportunities to improve business processes and systems through agile thinking.
• Provide guidance aligned to Nedbank’s Data Management framework and standards.
• Support junior analysts through mentorship and knowledge sharing.

Essential Qualifications - NQF Level

• Advanced Diplomas/National 1st Degrees
• Professional Qualifications/Honour’s Degree

Preferred Qualification

• Field of Study: BSc, BEng

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: 3–5 Years

Type of experience:

• Experience with data visualization and reporting tools (e.g., Tableau, Power BI)
• 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
• Basic knowledge of data modelling 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

Technical / Professional Knowledge

• Data Visualisation
• Data Warehousing
• Data profiling - intermediate
• 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

Deadline:17th July,2025