Marketing Analytics Specialist - Sandton, South Africa - Discovery Ltd.

Discovery Ltd.

Verified Company

Sandton, South Africa

2 weeks ago

Posted by:

Thabo Mthembu

beBee Recruiter

Description

Business Unit:
Discovery Connect
Function:Data Analysis
Date:22 Feb 2024
Key purpose

Discovery is a highperformance organisation which prides itself in attracting the best talent. Our environment is always buzzing with energy as smart, motivated people challenge themselves to find the best way to do things. In addition to being passionate about working in this fastpaced organisation, the successful applicant will be responsible for data extraction, analyses, modelling and BI reporting within the Marketing Data Science Hub team.
Key outputs
Perform analyses, provide insights, and build predictive models that will assist with sales, distribution, and general marketing analytics.
Expand the suite of automated analytical/KPI reports used by clients of the Marketing Data Science Hub team (relating to lead volumes, call centre metrics, campaign performance etc.).
Be an enabler of performance marketing, i.e.

perform analyses, provide insights, and build predictive models that will assist with:

Client segmentation and ideal client identification.
Development and implementation of targeted marketing strategies.
Optimisation of call centre operations.
Digital marketing optimisation.
Source and provide customised data to the business.
Guide business stakeholders in what data to extract.
Improve processes and databases where opportunities arise.
Interpret and disseminate information via reports and publications.

Competencies

Strong analytical and statistical modelling/machine learning skills.
Skill in producing BI reports and working with BI software tools (big advantage).
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 multitask and to manage workload.
Organized
High level of attention to detail.
Resilience, enthusiasm, energy and drive.
Positive, cando attitude.
Ethical and able to maintain confidentiality and manage boundaries.
Aligned to Discovery values and core purpose

Qualification and experience

Honours degree (or higher) in statistics, actuarial sciences, computer science (or equivalent, relevant qualification)
Knowledge of statistical packages (R, SAS, SPSS, Python etc.)
Knowledge of BI reporting tools (Power BI)
Experience in statistical and machine learning modelling techniques
High level of computer literacy (advanced MS-Excel and SQL)
EMPLOYMENT EQUITY

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.