Data Analyst at Nedbank

Job Purpose

• To leverage data analysis to optimize marketing strategies, improve customer segmentation, and enhance campaign performance. The Data Analyst will provide actionable insights that drive the marketing department's data-driven decision-making, ensuring that all campaigns and strategies are measurable, targeted, and aligned with business growth objectives.
• This role supports the continuous improvement of marketing ROI by harnessing data from multiple sources, including customer behaviour, campaign results, and digital analytics.

Job Responsibilities

• Data-Driven Campaign Analysis: Analyse data from marketing campaigns to provide insights on performance, customer engagement, and conversion rates. Identify areas of improvement to optimize future campaigns and enhance marketing effectiveness.
• Customer Segmentation & Personalization: Use data to develop detailed customer segments and drive personalized marketing strategies. Identify trends and behaviours to tailor marketing efforts to specific target audiences.
• Marketing ROI Measurement: Collaborate with stakeholders to define and measure key performance indicators (KPIs) for marketing initiatives. Provide in-depth reporting and analysis on the return on investment (ROI) of marketing activities, helping the team make informed decisions on budget allocation and campaign optimization.
• Predictive Analytics & Forecasting: Develop models to predict future marketing trends, customer behaviour, and campaign outcomes. Use predictive analytics to guide strategic decision-making and improve long-term planning.
• Data Visualization & Reporting: Create clear, actionable reports and visualizations that summarize complex data sets. Present findings to marketing leadership and other stakeholders to guide strategic decision-making.
• Data Integration & Management: Ensure data integrity and consistency across marketing platforms, including CRM systems, digital analytics, and customer databases. Collaborate with IT and data management teams to implement data integration solutions that streamline marketing data flows.
• Optimization of Marketing Processes: Analyse current marketing processes and identify areas for improvement. Recommend data-driven process enhancements to increase efficiency and effectiveness in campaign execution.
• Collaboration with Marketing Teams: Work closely with cross-functional teams such as brand managers, digital marketing, and customer experience teams to ensure that data is used effectively to guide campaign strategies and customer journeys.
• Adoption of Advanced Analytics Techniques: Leverage machine learning models, A/B testing, and other advanced analytics techniques to continuously improve marketing strategies. Ensure all marketing activities are backed by solid data and analytics.
• Stay Informed on Marketing Trends: Keep abreast of industry changes, marketing analytics best practices, and emerging technologies. Regularly share knowledge and insights with team members to drive a culture of continuous learning and improvement.

People Specification

Essential Qualifications - NQF Level

• Advanced Diplomas/National 1st Degrees

Preferred Qualification

• Bachelor’s Degree in Data Science, Marketing Analytics, Statistics, or a related field.

Minimum Experience Level

• 18 months to 3 years’ experience in data analysis within a marketing or digital marketing environment, including working with customer data, campaign performance metrics, and advanced data analytics tools.