Manager – Data Insights needed at Old Mutual

Job Description

• Develop and implement comprehensive tools and strategies for the transformation to an insights-driven, channel led organisation driving automation and self- service insights. Evolve the advanced analytics capability that leverages data to enhance growth, profitability and improve operational efficiency.

Develop and Implement comprehensive tools and strategies that allow raw data to be transformed into business insights.

• Manage and implement automation of standard reporting for operations, management, audit and regulatory reporting, across the channel led divisions, to enable data driven decision making.
• Drive the execution of strategic data projects.
• Use data drawn from various sources and manipulate data to develop new insights, to inform decision-making, address strategic and operational business questions.
• Develop and deliver advanced statistical and mathematical models to support insights within the organization that lead to fact-based decision making.
• Proactively provide fact based analytical programs to address strategic business needs.
• Test and process data sets, developing test cases with data science applied.
• Review data quality and issues, and compile action plan for quality improvement.
• Plan and implement data structures, process flows and visualizations.
• Using data, find opportunities to improve product offering to contribute positively to the organizations growth.
• Lead analytics and customer insights functions including data integration, reporting, dashboards and predictive analytics.
• Research and adopt analytical standard methodologies. Employ meaningful analytical methods to provide insights and actionable recommendations.
• Understand business processes and data sources, definitions and values in order to design, initiate and conduct key tasks or projects.
• Identify, analyse, and interpret trends, patterns and relationships in complex data sets and make recommendations based on findings.
• Ensure timeous delivery of accurate data.

Continuous improvement to ensure effective service

• Ensure statutory and legislative knowledge is always current in order to resolve customer complaints, to advise the business on corrective solutions to mitigate risks and to improve the customer experience whilst complying with governance requirements.
• Ensure adherence to organisational policies, practices, guides, mandates and procedures.
• Identify solutions to enhance cost effectiveness and increase operational efficiency.

Service delivery to ensure customer satisfaction

• Maintain service, quality and desired outputs within a specific functional process through ensuring compliance to tactical policies, procedures and standards.
• Establish productive operational relationships with key stakeholders in the various channels and administrative teams.
• Develop work routines in line with operational plans / schedules in order to manage achievement of service delivery goals.
• Share knowledge on, and participate in the creation of new standards, control systems and procedures to maintain service delivery.

Cost control and governance adherence

• Proactively ensure use of time, of resources, money, materials or equipment is in line with policies and procedures.
• Comply with corporate governance policies, procedures and standards.
• Operate within agreed mandates.

Quality people practices

• Align own behaviour with the organisation culture and values.
• Share and transfer product, process and systems knowledge to colleagues.
• Ensure achievement of own performance objectives.
• Actively share information with other team members regarding successes, issues, trends and ideas.
• Actively participate in own professional development and career path.
• Actively promote a culture of learning and high performance culture amongst team members.

Experience, knowledge & skills required 

• Bachelor degree in Mathematics, Statistics, Computer Science or Engineering.
• 5 – 8 years’ experience applying analytical techniques to mine data and solve business problems.
• Solid knowledge of statistical software (SAS, SPSS or R/Python)
• Solid knowledge of data query languages (SAS, SQL, VBA)
• Short Term Insurance Experience advantageous.
• Extensive experience in data visualization and insight communication.

Closing Date:15 June 2024