Marketing Data Analyst

Job Summary We are seeking a detail-orientated and proactive Data Analyst to join our team. The Data Analyst is responsible for maintaining accurate, complete and campaign-ready marketing and CRM data that supports effective audience targeting, segmentation and campaign execution. This hands-on role focuses on data enrichment, data quality, CRM hygiene and audience list preparation, ensuring Marketing and Sales teams can work from a trusted data foundation. Working closely with campaign and marketing operations stakeholders, the Analyst follows established governance standards, delivers high-quality enrichment outcomes and supports reliable, scalable marketing execution across global markets. We understand the need to provide a flexible working environment partnered with team collaboration and socialisation. Therefore, we operate a hybrid working model with 3 days of working from home per week. This role is based in the Cape Town office.

Key Responsibilities

Data Enrichment & CRM Data Quality

• Execute day-to-day enrichment tasks across contact, lead, account and company records using approved tools, systems and research methods.
• Research and verify B2B contacts and account information using tools such as ZoomInfo, Cognism, LinkedIn Sales Navigator and other approved resources.
• Validate, update and maintain accurate, complete and campaign-ready CRM data, including key firmographic and segmentation fields.
• Perform regular data hygiene tasks including deduplication activities, data validation and record maintenance in line with data governance standards.

Campaign Audience & Segmentation Support

• Build, maintain and quality-assure campaign audience lists and reusable segmentation assets based on marketing requirements.
• Translate campaign targeting requirements into clear list criteria.
• Pull and review audience lists before campaign launch, confirming record counts, suppression criteria and priority field accuracy.
• Identify and address any data gaps in campaign-ready data before list delivery.
• Document list logic, filters, assumptions and exceptions to support repeatability and consistency.

Quality Assurance,

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