BI Data Analyst

About

Description

The BI Data Analyst supports the delivery of business intelligence and analytics solutions by preparing, analyzing, and visualizing data to enable decision-making and performance tracking. 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.

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 (eg, 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

Qualifications

• Advanced Diplomas/National 1st Degrees
• Professional Qualifications/Honour’s Degree
• 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
• Total number of years of experience: 3–5 Years
• Experience with data visualization and reporting tools (eg, 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 (eg, 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

Application instructions:

• Apply Now!!