Data Analytics Lead

Let's Write Africa's Story Together!

Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.

Job Description

The Data Analytics Lead is responsible for driving the strategy, execution, and continuous improvement of the GRID’s data analytics capability. 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 enterprise analytics strategy, ensuring alignment with overall business and digital transformation goals.
• Translate strategic objectives into data-driven initiatives, dashboards, and reports that drive insights and actions.
• Work with business executives and 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 Power BI, Tableau, or Looker.
• Establish automated, accurate, and user-friendly dashboards for operational, tactical, and strategic use.
• Monitor data 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 to provide actionable business recommendations.
• Develop and track KPIs and OKRs aligned to business performance, persistency, customer engagement, and campaign effectiveness.
• Embed analytics 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.

Education:

o   Bachelor’s degree in Analytics, Statistics, Computer Science, Mathematics, or Business Intelligence.

o   A Master’s degree in Data Analytics, Business Analytics, or Applied Statistics is preferred.

Experience Requirements:

o   5+ years of experience in data analytics, business intelligence, or strategy roles, including 2+ years in a leadership capacity.

o   Proven track record in leading data and reporting teams, delivering complex analytics initiatives with measurable impact.

o   Strong experience designing and building reporting infrastructure across functions like marketing, product, sales, and finance.

Technical Expertise:

o   Advanced proficiency in SQL, Excel, and data visualization tools (Power BI, Tableau, Qlik).

o   Familiarity with statistical software (R, Python) and cloud data platforms (Azure, GCP, AWS).

o   Understanding of data warehousing and database structures.

Experience in the below education/experience is preferred

Data Analytics and BI Certifications:

• Microsoft Certified: Data Analyst Associate (Power BI) – for strong reporting and dashboarding expertise.
• 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.
• Certified Business Intelligence Professional (CBIP) – recognized certification across BI and analytics functions.

Data Science & Statistical Modeling (Preferred):

• Certified Analytics Professional (CAP) – for leaders working across the full analytics lifecycle.
• IBM Data Science Professional Certificate – for analysts working closely with predictive and statistical models.

Project & Agile Management (Preferred):

• Project Management Professional (PMP) – beneficial for managing analytics portfolios or cross-functional reporting initiatives.
• Certified Scrum Product Owner (CSPO) or Scrum Master (CSM) – for leading data teams in agile delivery settings.

Skills

Adaptive Thinking, Business Intelligence (BI) Analysis, Business Requirements Analysis, Categorizing Data, Computer Literacy, Data Analysis, Database Reporting, Database User Interfaces and Queries, Data Classification, Data Compilation, Data Controls, Data Interpretations, Document and Model User Requirements, Policies & Procedures, Report Review

Competencies

Education

NQF Level 9 – Masters (Required)

Closing Date

03 July 2025 , 23:59

The appointment will be made from the designated group in line with the Employment Equity Plan of Old Mutual South Africa and the specific business unit in question.

The Old Mutual Story!