Home › Companies › Jemhr › Customer Data Coordinator
Customer Data Coordinator
Jemhr · Cape Town, Western Cape, 7708, South Africa · Hybrid · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Jemhr |
| Title | Customer Data Coordinator |
| Normalized title | - |
| Department / team | Operations Machine |
| Location | Cape Town, Western Cape |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-05-07 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Jemhr. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Cape Town. | Open |
| Department jobs | Active postings in Operations Machine. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Jemhr |
| Source | e36c041d-c678-4f15-b877-0357b5b70da7 |
| ATS provider | BambooHR |
Description
Cape Town or Johannesburg Based | Scale-Up | Full-Time | Operations Machine | Hiring Manager: Busisiwe Mashele
Jem is hiring a Customer Data Coordinator based in Cape Town or Johannesburg . This is a hands-on, detail-driven role at the centre of how Jem delivers for its customers.
Jem is a fast-growing HR tech scale-up building tools for frontline teams, now supporting just under 200,000 frontline employees across South Africa.
In this role, you'll work directly with customer data, keeping it clean, accurate and flowing smoothly through our systems. You'll support the customer experience by resolving queries, processing client information and helping maintain the integrity of the data our product relies on. You'll also play a role in shaping how AI is embedded into data workflows, helping the team move faster and reduce manual effort.
⭐️ Your Mission
Keep customer data accurate, systems reliable and clients well supported, while helping build smarter, AI-enabled ways of working.
⭐️ What Success Looks Like
Customer data is clean, accurate and processed on time.
Client queries are resolved quickly and with care.
Batch payments, invoicing and reconciliations are handled reliably.
Manual data workflows are steadily replaced by AI-assisted processes.
Internal teams trust the data you manage and the systems you maintain.
⭐️ What You'll Do
Customer care and data management
Use internal tools and databases to resolve queries and process client data.
Process and maintain customer data, ensuring accuracy and completeness.
Provide feedback and recommendations to the product team based on customer interactions.
User research
Work closely with the product team to conduct user research through interviews, phone calls and surveys.
Process improvement and AI integration
Identify repetitive data management workflows that can be handed over to AI, reducing manual oversight.
Help build and maintain AI agents that continuously monitor data integrity and flag anomalies.
Use AI tools to monitor system queues and predict which client files are at risk of breaching SLAs.
Document and update customer data processes and guides.
Administration
Process batch payments.
Reconcile advances and invoice clients.
Collect client testimonials.
⭐️ You'll Thrive Here If You
You're detail-oriented and take pride in getting data right.
You're comfortable talking to clients and resolving problems calmly.
You enjoy process and systems, and get satisfaction from making things run smoothly.
You're curious about AI and excited to learn how it can improve your work.
You're proactive and take ownership rather than waiting to be told what to do.
You're comfortable working across multiple tools and switching between tasks.
⭐️ Requirements
Minimum:
1 - 3 years' experience in data coordination, customer support, operations or a related role.
Based in Cape Town or Johannesburg.
Strong attention to detail and comfort working with data.
Good communication skills, both written and verbal.
Comfortable learning new tools and systems quickly.
Nice to have:
Experience in SaaS, HR tech or fintech.
Familiarity with Excel/Google Sheets and data handling.
Exposure to AI tools or an eagerness to learn.
Experience in a start-up or scale-up environment.
⭐️ What You Can Expect From Us
Hybrid work environment with a 3-day office policy.
Competitive salary (R18,000 - R20,000 monthly base salary, depending on experience and fit).
Great benefits (lunch 4 times a week, medical aid contribution, retirement annuity contribution, etc.) and 22 days of annual leave.
Access to high-growth learning: data operations, product, AI tooling and automation.
Real ownership of your work and the systems you manage.
We respond to all applications. You can expect feedback on your application, even if we decide not to move forward.
When our customers thrive, thousands of South African employees get access to the benefits and security they deserve. If you're excited by clean data, great customer experiences and building AI into how you work, we'd love to hear from you. Here is a link to our careers page.
Full job record
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| Org ID | 1ab33d9d-a948-435d-9701-21f25475be3b |
| Source ID | e36c041d-c678-4f15-b877-0357b5b70da7 |
| Board ID | e36c041d-c678-4f15-b877-0357b5b70da7 |
| Provider | bamboohr |
| Provider Job Key | 48 |
| Title | Customer Data Coordinator |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Cape Town, Western Cape, 7708, South Africa |
| Department | Operations Machine |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | — |
| Region | Western Cape |
| City | Cape Town |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jemhr.bamboohr.com/careers/48 |
| Apply URL | https://jemhr.bamboohr.com/careers/48 |
| First Seen At | 2026-05-30 06:09:02Z |
| Last Seen At | 2026-06-06 10:23:58Z |
| Last Checked At | 2026-06-06 10:23:58Z |
| Last Changed At | 2026-05-30 06:09:02Z |
| Inactive At | — |
| Source Posted At | 2026-05-07 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=jemhr/date=2026-06-06/2026-06-06T10-23-57-626Z-e369f42fb1d591a348be640fdc18350c5235d8ba50db13291506a2af29be91d1.json |
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"description": "<p><em>Cape Town or Johannesburg Based | Scale-Up | Full-Time | Operations Machine | Hiring Manager: Busisiwe Mashele</em><br><br></p>\n<p><span style=\"font-weight: bold\">Jem is hiring a Customer Data Coordinator based in Cape Town or Johannesburg</span>. This is a hands-on, detail-driven role at the centre of how Jem delivers for its customers.<br><br></p>\n<p>Jem is a fast-growing HR tech scale-up building tools for frontline teams, now supporting just under 200,000 frontline employees across South Africa.<br><br></p>\n<p>In this role, you'll work directly with customer data, keeping it clean, accurate and flowing smoothly through our systems. You'll support the customer experience by resolving queries, processing client information and helping maintain the integrity of the data our product relies on. You'll also play a role in shaping how AI is embedded into data workflows, helping the team move faster and reduce manual effort.<br><br></p>\n<p><span style=\"font-size: 14pt; font-weight: bold\">⭐️ Your Mission</span></p>\n<p>Keep customer data accurate, systems reliable and clients well supported, while helping build smarter, AI-enabled ways of working.<br><br></p>\n<p><span style=\"font-size: 14pt; font-weight: bold\">⭐️ What Success Looks Like</span></p>\n<ul>\n<li>Customer data is clean, accurate and processed on time.</li>\n<li>Client queries are resolved quickly and with care.</li>\n<li>Batch payments, invoicing and reconciliations are handled reliably.</li>\n<li>Manual data workflows are steadily replaced by AI-assisted processes.</li>\n<li>Internal teams trust the data you manage and the systems you maintain.<br><br></li>\n</ul>\n<p><span style=\"font-size: 14pt; font-weight: bold\">⭐️ What You'll Do</span></p>\n<p><span style=\"font-weight: bold\">Customer care and data management</span></p>\n<ul>\n<li>Use internal tools and databases to resolve queries and process client data.</li>\n<li>Process and maintain customer data, ensuring accuracy and completeness.</li>\n<li>Provide feedback and recommendations to the product team based on customer interactions.<br></li>\n</ul>\n<p><span style=\"font-weight: bold\">User research</span></p>\n<ul>\n<li>Work closely with the product team to conduct user research through interviews, phone calls and surveys.</li>\n</ul>\n<p><span style=\"font-weight: bold\">Process improvement and AI integration</span></p>\n<ul>\n<li>Identify repetitive data management workflows that can be handed over to AI, reducing manual oversight.</li>\n<li>Help build and maintain AI agents that continuously monitor data integrity and flag anomalies.</li>\n<li>Use AI tools to monitor system queues and predict which client files are at risk of breaching SLAs.</li>\n<li>Document and update customer data processes and guides.</li>\n</ul>\n<p><span style=\"font-weight: bold\">Administration</span></p>\n<ul>\n<li>Process batch payments.</li>\n<li>Reconcile advances and invoice clients.</li>\n<li>Collect client testimonials.<br><br></li>\n</ul>\n<p><span style=\"font-size: 14pt; font-weight: bold\">⭐️ You'll Thrive Here If You</span></p>\n<ul>\n<li>You're detail-oriented and take pride in getting data right.</li>\n<li>You're comfortable talking to clients and resolving problems calmly.</li>\n<li>You enjoy process and systems, and get satisfaction from making things run smoothly.</li>\n<li>You're curious about AI and excited to learn how it can improve your work.</li>\n<li>You're proactive and take ownership rather than waiting to be told what to do.</li>\n<li>You're comfortable working across multiple tools and switching between tasks.<br><br></li>\n</ul>\n<p><span style=\"font-size: 14pt; font-weight: bold\">⭐️ Requirements</span></p>\n<p><span style=\"font-weight: bold\">Minimum:</span></p>\n<ul>\n<li>1 - 3 years' experience in data coordination, customer support, operations or a related role.</li>\n<li>Based in Cape Town or Johannesburg.</li>\n<li>Strong attention to detail and comfort working with data.</li>\n<li>Good communication skills, both written and verbal.</li>\n<li>Comfortable learning new tools and systems quickly.</li>\n</ul>\n<p><span style=\"font-weight: bold\">Nice to have:</span></p>\n<ul>\n<li>Experience in SaaS, HR tech or fintech.</li>\n<li>Familiarity with Excel/Google Sheets and data handling.</li>\n<li>Exposure to AI tools or an eagerness to learn.</li>\n<li>Experience in a start-up or scale-up environment.<br><br></li>\n</ul>\n<p><span style=\"font-size: 14pt; font-weight: bold\">⭐️ What You Can Expect From Us</span></p>\n<ul>\n<li>Hybrid work environment with a 3-day office policy.</li>\n<li>Competitive salary (R18,000 - R20,000 monthly base salary, depending on experience and fit).</li>\n<li>Great benefits (lunch 4 times a week, medical aid contribution, retirement annuity contribution, etc.) and 22 days of annual leave.</li>\n<li>Access to high-growth learning: data operations, product, AI tooling and automation.</li>\n<li>Real ownership of your work and the systems you manage.</li>\n<li>We respond to all applications. 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