Data Analyst (Senior)

Analytics and reporting play a critical role in measuring usage and engagement across our digital platform. The role will be responsible for building a set of frameworks and reporting for Distribution, allowing for meticulous management of the sales pipeline and digital engagement.

Areas of responsibility may include but not limited to:

• Using statistical methods and tools to analyze data and identify trends, patterns, and insights
• Gather data from various sources, such as databases, surveys, and external datasets
• Ensuring the data integrity
• Solving Ad-hoc , analytical problems
• Analysing a broad range of datasets to interpret and derive insights, leading to great customer understanding
• Presenting and sharing data driven insights in a meaningful way, to inform strategy
• Mapping data linage
• Compiling reports that summarize findings and provide actionable recommendations to stakeholders
• Working with other departments to understand their data needs and provide insights that support their goals
• Guide business stakeholders in what data to extract
• Accessing multiple data bases across various companies to provide the relevant data
• Developing and implementing a framework that tracks key metrics related to the onboarding journey through Adviser 360, including completion rates, time to completion, and drop off rates.
• Build a range of automated dashboards, providing valuable insights into lead conversion rates per initiative, lead to sale conversion, quote to sale conversion, time to complete onboarding, pipeline measurement, conversion per adviser, and report at various levels within Sales and Distribution.
• Compare usage between support roles and adviser roles, and provide measurement of all features in Adviser 360, sharing trends and insights.
• Determining how to improve existing business processes
• Manage and assist staff

Competencies

• Strong analytical and statistical modelling skills
• Above average ability to work with, analyse and report on data
• Ability to source data from both structured and unstructured sources
• Good communication skills and ability to build relationships with key stakeholders
• Ability to work under pressure and in conditions of change
• A team player who can work alone when required and without supervision
• Ability to multi-task and to manage workload
• Organized
• High level of attention to detail
• Resilience, enthusiasm, energy and drive
• Positive, can-do attitude
• Ethical and able to maintain confidentiality and manage boundaries
• Aligned to Discovery values and core purpose

Technical Skills:

• Programming (SQL, R), Power BI software and advanced Microsoft Office skills.
• Understanding of systems engineering concepts.
• Diagnostic information gathering.
• Analytical thinking.
• Thoroughness.
• Business Intelligence.

Education and Experience

Qualification

• Matric (Essential)
• Bachelor’s or (preferable) Honours degree in actuarial science and/or Mathematical Statistics/ Computer Science or strong mathematical/economics candidate (Essential)
• High level of computer literacy (advanced MS-Excel and SQL)

Experience

Minimum of 4-5 Years experience in any of the fields specified under essential qualification.

The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.