BI Analyst II

Requisition Details & Talent Acquisition Contact

136572 - Busi Radebe 

Job Post End Date: 11 March 2025

Job Family

Marketing, Communication, and Data Analytics

Career Stream

Data Analysis

Leadership Pipeline

Manage Self: Professional (MSP)

Job Purpose

To analyse, interpret, collate, and present financial and non-financial information for the Group Marketing Department at Nedbank. The focus is on designing and delivering reports that drive strategy, enhance decision-making, and support the overall marketing objectives. The role involves providing valuable insights into customer behaviour, marketing technology performance, and competitive analysis to facilitate effective marketing strategies.

Job Responsibilities

Data Visualization/Insights for Group Marketing:
⦁    Develop and design data visualizations and dashboards that provide actionable insights for the Group Marketing team, enhancing decision-making processes.
⦁    Collaborate with marketing stakeholders to understand their analytical needs, translating them into effective visual representations that drive marketing strategies.

Business Stakeholder Management (Relationship Structure):
⦁    Build and maintain strong relationships with business stakeholders, ensuring clear and effective communication of data insights and analytical findings.
⦁    Facilitate regular meetings with stakeholders to gather feedback, refine requirements, and ensure alignment with business objectives.

Supporting the Function of Data Translator:
⦁    Act as a liaison between technical teams and business units, translating complex data findings into understandable and actionable insights for non-technical stakeholders.
⦁    Provide training and support to business users on data interpretation and usage.

Business Requirements Gathering (DataTECH Brief):
⦁    Conduct thorough requirements gathering sessions with business users to understand their data needs and translate them into technical specifications for the DataTECH team.
⦁    Ensure that data solutions align with business goals and provide the necessary insights for decision-making.

Creating Visual Representations:
⦁    Design and create intuitive and interactive data visualizations that effectively communicate key findings and trends.
⦁    Utilize best practices in data visualization to ensure clarity, accuracy, and usability.

Data Exploration:
⦁    Perform exploratory data analysis to identify patterns, correlations, and trends within large datasets.
⦁    Develop data models and hypotheses to support business questions and drive data-driven decision-making.

Dashboard Development:
⦁    Develop and maintain interactive dashboards that provide real-time insights and performance metrics for various business functions.
⦁    Ensure dashboards are user-friendly, visually appealing, and provide meaningful information to stakeholders.

Storytelling with Data:
⦁    Craft compelling data stories that convey insights and recommendations in a clear and engaging manner.
⦁    Present data findings to stakeholders using narrative techniques that highlight key takeaways and implications.

PowerBI / Data Toolbox Utilisation:
⦁    Leverage PowerBI and other data tools to develop and deliver analytical solutions that meet business needs.
⦁    Stay updated with the latest features and capabilities of PowerBI and other data tools to continuously enhance analytical solutions.

Administration of PowerBI Service for GMCA:
⦁    Administer and manage the PowerBI service for the Group Marketing Communication and Advertising (GMCA) team, ensuring data security and accessibility.
⦁    Monitor usage and performance of PowerBI reports and dashboards, optimizing for efficiency and effectiveness.

Data Democratization and Fluency:
⦁    Promote data democratization by enabling self-service data access and analysis for business users.
⦁    Measure and improve data fluency across the organization, providing training and resources to enhance data literacy.
 

People Specification

Essential Qualifications - NQF Level

Advanced Diplomas/National 1st Degrees

Preferred Qualification

• BCom in Marketing, Business Analytics, or a related field

Preferred Certifications

• DAMA
• Business analysis
• Microsoft Certified Solutions Experts (MCSE): Business Intelligence 
• Certification in a specific BI Tool (e.g. Power BI)

Minimum Experience Level

7 - 10 years

Technical / Professional Knowledge

• BI Tools (Advanced)
• Managing business Meta Data advanced
• Dax understanding intermediate
• Data Virtualization understanding advanced 
• Data Visualization design and build advanced
• Design Thinking advanced
• Database Query advanced
• Business writing skills (intermediate)
• Data analysis Advanced
• Research methodology advanced
• Data Modelling - intermediate
• Data Ethics basic
• Data minining intermediate
• Data profiling - intermediate
• Data story telling - advanced
• Business analysis methodology intermediate
• Domain knowledge advanced 
   

Behavioural Competencies