Marketing Data Coordinator
Cape Town, 7561, South Africa
Listed on 2026-08-21
-
IT/Tech
Data Analyst, CRM Systems & Management
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.
- 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 Zoom Info, Cognism, Linked In 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.
- 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.
- Conduct quality assurance checks on enriched records, imports, exports and campaign lists to ensure accuracy, completeness and suppression compliance.
- Track and report on data quality metrics, enrichment performance, and field completion rates.
- Participate in spot-checks and peer reviews to improve consistency across enrichment activities.
- Follow established data governance processes, support compliance-related data tasks such as opt-out handling and ensure that data handling practices protect sensitive information.
- Assist with the maintaining of data dictionaries, field definitions, and enrichment SOPs.
- Utilise CRM, marketing automation, spreadsheet and enrichment tools to manage, validate and analyse data at scale.
- Monitor data imports, exports, integrations and routine workflow monitoring, resolving issues where appropriate.
- Maintain visibility of personal workload, task status, blockers and completion progress.
- Identify opportunities to improve efficiency, automate manual processes and enhance data quality practices.
- Partner with Demand Generation, Campaign Operations, Marketing Operations, Sales Operations and regional marketing teams to understand audience requirements and data quality objectives.
- Communicate proactively on audience requirements, delivery timelines, data issues and potential risks, helping to build confidence in CRM data and processes.
- 2-4 years’ experience in Marketing Operations, CRM data management, Sales Operations, Revenue Operations, data enrichment, or a similar data-focused B2B role.
- Experience with data hygiene tasks, including normalisation, deduplication, field completion, bounce cleanup and stale data identification.
- Hands‑on experience with at least one data enrichment, sales intelligence or prospecting platform, such as Zoom Info, Cognism, Apollo or equivalent.
- Experience with Linked In Sales Navigator is a plus.
- Working knowledge of CRM data structures such as leads,…
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