About the position
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:
- Bachelor’s degree in Analytics, Statistics, Computer Science, Data Science, Mathematics, Engineering, or Business Intelligence.
- A master’s 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.
Experience in the below education/experience is preferred
- 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.
ADDITIONAL QUALIFICATIONS/EXPERIENCE (PREFERRED, NOT A REQUIREMENT)
- 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.
Desired Skills:
