Data Scientist: Marketing

2 weeks ago

Johannesburg Metropolitan Area, South Africa AcquireTech Full time R500 000 - R750 000 per year

A pioneer digital bank in South Africa, providing accessible and innovative financial services, is seeking a Data Scientist: Marketing

Location: Johannesburg OR Cape Town

Industry: Banking

Hybrid

Overall Purpose of the Role:

Develop, maintain, and automate marketing data operations and reporting processes for CLM and digital campaigns, ensuring robust data pipelines, consistent metrics, and timely insights that drive business growth.

Experience and Skills Required:

Core Competencies


• SQL (joins, window functions, CTEs).


• BI/dashboarding (Tableau, Power BI or similar).


• Data modelling basics and ETL/ELT concepts.


• Python for data prep and simple analyses.


• Version control and documentation hygiene.


• Communication: crisp stakeholder updates and requirements capture.


• Experience with AI & Data analytics

Nice to Have


• Experience with a CDP (e.g., Segment) and event tracking governance.


• Familiarity with CLM tooling and campaign platforms.


• Exposure to MoEngage or similar orchestration and transformation tools.

Qualifications


• B‑degree in quantitative field (Statistics, Maths, Information Systems, Engineering) or equivalent experience.


• Relevant certifications in BI/analytics advantageous.

Responsibilities:


• Own day‑to‑day marketing data operations: ingest, QA and publish audience and performance datasets.
• Build and automate dashboards for CLM and Digital (campaign performance, audience size/quality, conversion and retention trends).


• Partner with Marketing to define and standardise metrics, dimensions and taxonomies across PODs.


• Work with Engineering to improve event instrumentation coverage and data quality in the CDP.


• Create clear documentation and data dictionaries; maintain dashboard/catalog change logs.


• Contribute to backlog grooming and sprint delivery; proactively flag data quality issues and risks.


• Support handover from external vendor by reproducing critical dashboards and processes in‑house

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