Key Purpose
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.