Data & Analytics Manager

We are seeking a Data & Analytics Manager to join our team in Cape Town, onsite on a contract basis.

The Data & Analytics Manager is responsible for driving the strategy, execution, and continuous improvement of the Servicing business.

This role plays a critical function in transforming raw data into strategic insights that inform decision-making, improve customer experience, and optimize business performance.

The Lead is accountable for managing a high-performing analytics team, delivering robust reporting frameworks, developing advanced data models, and ensuring that analytics initiatives align with business priorities and outcomes.

Analytics Strategy and Leadership:

• Define and lead the implementation of the service analytics strategy, ensuring alignment with overall business targets.
• Translate strategic objectives into AI and data-driven initiatives, dashboards, and reports that drive insights and actions.
• Leverage advanced analytics and AI tools (e.g., machine learning models, generative AI) to identify emerging trends, predict outcomes, and optimize decision-making.
• Work with product owners to understand data needs and guide the prioritization of analytics solutions accordingly.

Team Management and Capability Development:

• Manage, mentor, and grow a team of data analysts and reporting specialists.
• Build capability in advanced analytics, visualization, and self-service BI tools.
• Foster a data-driven culture and encourage cross-functional collaboration for analytics enablement.

Reporting and Visualization:

• Design and implement scalable reporting solutions using tools like Tableau and Alteryx.
• Establish automated, accurate, and user-friendly dashboards for operational, tactical, and strategic use.
• Monitor report usage and continually improve data storytelling and visualization practices.

Data Modeling and Analysis:

• Oversee the development of analytical models and segmentation frameworks to uncover patterns and trends.
• Guide exploratory and descriptive analytics to support business decisions across digital, rewards, finance, and customer functions.
• Collaborate with data engineering and architecture teams to ensure access to clean, consistent, and timely data.

Insight Generation and Decision Support:

• Perform root-cause and opportunity analyses using AI-powered tools to provide actionable business recommendations
• Develop and track KPIs and OKRs aligned to business performance, persistency, customer engagement, and campaign effectiveness.
• Embed analytics AI driven insights into business processes to enable continuous insight-led improvements.

Data Governance and Quality Oversight:

• Ensure data accuracy, consistency, and compliance with data governance standards.
• Contribute to the creation and maintenance of a centralized data knowledge repository.

MINIMUM QUALIFICATIONS/EXPERIENCE (REQUIRED FOR THE JOB)

Education Requirement:

• Bachelors degree in Analytics, Statistics, Computer Science, Data Science, Mathematics, Engineering, or Business Intelligence.
• A masters degree in data Analytics, Business Analytics, or Applied Statistics is preferred.

Experience Requirements:

• 5+ years of experience in data analytics, business intelligence, or strategy roles, including 2+ years in a leadership capacity.
• Proven track record in leading data and reporting teams, delivering complex analytics initiatives with measurable impact.
• Strong experience designing and building reporting infrastructure across functions like marketing, product, sales, and finance.

Technical Expertise:

• Advanced proficiency in SQL, Excel, and data visualization tools (Alteryx, Tableau).
• Familiarity with statistical software (R, Python) and cloud data platforms (Azure, AWS).
• Understanding of data warehousing and database structures.

• Data Analytics and BI Certifications:
• Google Data Analytics Professional Certificate (Coursera) foundational certification covering the analytics process end-to-end.
• Tableau Desktop Specialist / Certified Analyst for organizations leveraging Tableau for enterprise reporting.
• Data Science & Statistical Modelling (Preferred):
• Certified Analytics Professional (CAP) for leaders working across the full analytics lifecycle.

• AI & Machine Learning: Hands-on experience with AI platforms and frameworks (e.g., Azure AI).
• Generative AI & NLP: Familiarity with large language models (LLMs), prompt engineering, and AI-driven insight generation.
• Programming: Strong skills in Python or R for data manipulation, modelling, and automation.
• Data Engineering Basics: Understanding of data pipelines, ETL processes, and cloud data platforms (Azure, AWS, GCP).
• Demonstrated experience in implementing AI-driven analytics solutions in a business context.