Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.
Job Description
This role is individually accountable for turning data into actionable insights. The incumbent is relentlessly curious and uses advanced analytical skills, tools, and platforms to present data as information and create analytical solutions that are interactive and easy to understand.
Let's Write Africa's Story Together!
Next176 (powered by Old Mutual) is building, investing, and partnering with ventures to create disruptive, sustainable businesses that impact one billion lives. Underpinned by innovative financial services, the ventures will operate in ecosystems including health, education, jobs, business ownership, environmental sustainability, and debt management.
About Reveal
Reveal is a dynamic investment and market research company dedicated to providing our clients with cutting-edge insights and data-driven solutions. By analyzing the purchasing behavior of real consumers in real-time, Reveal offers independent, differentiated investment research and an inside view of consumer spending. Our detailed dashboards for various retail sectors document market activity and relative performance across different income groups, allowing clients to track the drivers of their company’s performance and their competitors.
Job Description:
We're seeking a talented and motivated Data Analyst to join our core team at Reveal. In this role, you'll be instrumental in growing our research proposition by leveraging data to provide clients with relevant, differentiated research and solutions. You'll dive deep into complex datasets, uncover unique insights, and support our customers in making data-driven decisions that drive their business forward.
Key Responsibilities include but are not limited to:
- Consumer Behavior Analysis:
- Analyze the purchasing behavior of real consumers in (near) real-time to identify trends and insights.
- Segment consumer data by various demographics, income groups, and other relevant criteria to understand spending patterns.
- Market Research and Investment Analysis:
- Provide ad-hoc data, analytics, and insights to internal and external stakeholders.
- Provide proactive and differentiated research by analyzing market activities and consumer spending.
- Track the relative performance of different retail sectors and identify key drivers of market trends.
- Dashboard Development and Maintenance:
- Develop and maintain detailed dashboards documenting market activity and performance across various retail sectors.
- Ensure dashboards provide clear and actionable insights to clients, helping them track their company’s and competitors' performance.
- Collaboration with Stakeholders:
- Work closely with data engineers to ensure data quality and availability.
- Collaborate with analysts to provide data insights that support customer strategies and decision-making.
- Data Quality and Validation:
- Perform data validation and quality checks to ensure the accuracy and reliability of data.
- Identify and resolve data discrepancies and inconsistencies.
- Implement data quality best practices to maintain high standards of data integrity.
- Integration of New Data Sources:
- Work with data engineers to integrate new data sources into the analysis ecosystem.
- Validate and test new data sources to ensure they meet quality and performance standards.
- Document and design automated checks to ensure data quality.
- Leverage new data sources to enhance the depth and breadth of analysis.
- Predictive Modeling and Insights Generation:
- Develop and apply predictive models to forecast market trends and consumer behavior.
- Use statistical techniques and machine learning to generate actionable insights for clients.
- Reporting and Presentation:
- Prepare comprehensive reports and presentations to communicate findings to stakeholders.
- Translate complex data findings into clear and actionable recommendations for clients.
- Continuous Improvement:
- Stay updated with the latest trends and technologies in data analysis and analytics.
- Identify opportunities for process improvement and automation.
- Implement best practices to enhance data analysis capabilities.
Qualification, Skills and Experience:
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
- 5+ years of experience in data analysis and reporting.
- Proven track record of delivering impactful insights from complex datasets.
- Proficiency in data analysis tools: Python or R.
- Strong experience with data visualization tools: Tableau, Power BI, or Thoughtspot.
- Knowledge of statistical techniques and predictive modeling.
- Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
- Excellent problem-solving skills and meticulous attention to detail.
- Strong communication and collaboration abilities.
- Ability to translate complex data findings into actionable insights.
- Proactive mindset and ability to work independently.
Closing Date: 12 November 2024
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.
Old Mutual Limited is pro-vaccination and encourages its workforce to be fully vaccinated against Covid-19.
All prospective employees are required to disclose their vaccination status as part of the recruitment process.
Please refer to the Old Mutual’s Covid-19 vaccination policy for further detail. Kindly note that Old Mutual reserves the right to reinstate the requirement to vaccinate at any point if it is of the view that it is imperative to do so.
About Us
Old Mutual is a premium African financial services organisation that offers a broad spectrum of financial solutions to retail and corporate customers across key market segments in 14 countries. The lines of business include Life and Savings, Property and Casualty, Asset Management, and Banking and Lending. We are rooted in our purpose of Championing Mutually Positive Futures Every Day and believe that a great customer experience is anchored in a great employee experience.
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