Data Scientist

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

KEY RESULT AREAS

This role is responsible for the interpretation and statistical analysis of customer and customer related data through efforts of others over periods of up to a year. The incumbent is individually accountable for achieving results through own efforts.

Data Analysis

·         Extracts data from various internal and external data sources.

·         Performs data manipulation and descriptive/ exploratory data analysis

·         Works with little supervision, and to very high levels of accuracy. 

·         Liaises with IT and data delivery teams.

·         Codes, tests and implements query programs.

·         Delivers statistical models in support of business objectives 

·         Has a broad understanding of statistics, predictive modelling, machine learning and data science techniques.

·         Responsible for the interpretation and statistical analysis of customer, sales and intermediary data.

·         Generates business insights via statistical and data analysis.

·         Builds dashboards and reports to help answer business questions.

·         Documents program and data base specifications.

·         Interprets and analyses data and presents internally.

·        Should be able to work without supervision for repetitive functions but require supervision for more complex tasks

Personal Effectiveness

·      Accepts and lives the company values

·     Accountable for service delivery through own efforts

·     Collaborates effectively with others to achieve personal results.

·     Individually accountable for managing own time, tasks and output quality

·     Makes increased contributions by broadening individual skills

Qualifications and Experience

·     Matric

·     IT related degree / diploma or up to 2-5 years IT related experience

·     Advanced skill in MS Excel with Power Query & PowerPivot as pre-requisite

·     Experience in similar Data Science role would be advantagious.

·     Proficient in the use of Tableau Desktop reporting.

·     Proficient in the use of MS PowerBI.

·     Proficient in the use of MS SQL Language.

Collect, analyse, report, and interpret data for use in the development of business strategies and tactics and in subsequent appraisal of results. OML Roles mapped to this profile are: Data Analyst.

Responsibilities

Business Requirements Identification

Collect business requirements using a variety of methods such as interviews, document analysis, workshops, and workflow analysis to express the requirements in terms of target user roles and goals, in order to garner the "why" of the requirements and the benefits of such requirements.

Data Exploration & Manipulation

Conduct research and select relevant information to enable testing, experimental adjustustment and analysis of key themes and trends using primary data sources and business intelligence tools, to perform data manipulation and descriptive data analysis.

Advanced Analytics

Support interpretation of advanced analytics data, using specialized software tools and functionalities to support business requirements.

Performance Improvement through Business Intelligence

Make recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy by performing root cause analyses.

Insights and Reporting

Contribute to the preparation of various data and analytics reports. Builds dashboards and reports to help answer business questions.

Data Architecture

Consult and educate stakeholders on methods for streamlining and standardizing data recording to ensure quality and accuracy.

Data Collection and Analysis

Collate and analyze data using preset tools, methods, and formats. Involves working independently.

Personal Capability Building

Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation where relevant to improve performance and fulfill personal potential. Maintain an understanding of relevant industry best practices, business acumen, and broadening of individual skills such as presentation, communication and visualisation, through ongoing education, attending conferences, and reading specialist media.

Skills

Action Planning, Application Development, Business Requirements Analysis, Computer Literacy, Data Compilation, Data Controls, Data Management, Data Modeling, Executing Plans, Gaps Analysis, IT Network Security, Management Reporting, Market Analysis, Policies & Procedures, User Requirements Documentation

Competencies

Action Oriented

Collaborates

Cultivates Innovation

Customer Focus

Drives Engagement

Drives Results

Manages Ambiguity

Manages Complexity

Education

NQF Level 7 - Degree, Advance Diploma or Postgraduate Certificate or equivalent

Closing Date

13 March 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!