Master Data Administrator

Smollan Technologies; South Africa; On-site; ZAR 350,000 - 550,000; Full time

Job summary

Smollan Technologies is looking for a Master Data Administrator to ensure the accuracy, consistency and structure of client data ecosystems. You will cleanse, categorize and map master data, working with our Master Data Manager and Client Operations teams to support predictive analytics.

You will handle large datasets, engage with external data sources, enforce data standards, troubleshoot issues, and drive ongoing improvements in data management workflows.

Qualifications

• Experience cleansing, matching and categorizing large datasets.
• Ability to interact with external data sources and internal teams.
• Strong data quality focus and problem-solving skills.
• Familiarity with GIS mapping is a plus.

Responsibilities

• Data Cleansing, Management & Processing: Execute daily, weekly, and monthly data capture and process management tasks. Evaluate large volumes of customer and product information to accurately cleanse, match, and categorize Store Master and Product Master databases.
• External & Internal Data Engagement: Interact directly with external data sources to ensure data is received timeously. Collaborate with internal teams (Operational Intelligence, Client, and Technical teams) to fulfill briefing requirements and support project execution.
• Quality Assurance & Troubleshooting: Enforce data standard processes to maintain high data integrity. Investigate data inconsistencies, troubleshoot root causes, and resolve discrepancies independently or in conjunction with technical teams.
• Process Optimization: Identify and recommend ongoing productivity refinements and operational improvements in data management workflows.
• Ad-Hoc Projects & Delivery: Deliver monthly reporting frameworks to end users, execute ad-hoc operational or GIS tasks, and assist in onboarding and sharing learnings with new team members.

Skills

Data cleansing

Data management

Data processing

External data engagement

Quality assurance

Troubleshooting

Process optimization

GIS mapping

Job description

At Smollan Technologies, we provide a unified, AI-powered suite of products that redefines how businesses handle data. From next-gen analytics to predictive modeling, our solutions flip the switch on everything from inventory and pricing forecasting to retail sales analytics. But even the best predictive engines rely on one critical foundation: high-integrity, flawless master data.

That's where you come in. As our Master Data Administrator, you play a vital role in ensuring the accuracy, consistency, and structure of our clients' core data ecosystems. Working closely with our Master Data Manager and Client Operations teams, you will tackle large-scale data cleansing, categorization, and spatial GIS mapping. You will evaluate complex datasets, resolve inconsistencies, and continuously refine our master data processes to keep our predictive models running smoothly.

We believe that when you hire unique, detail-oriented problem solvers and give them flexibility and independence, incredible things happen. Our culture is rooted in trust, collaboration, and genuine care for our people.

What You Will Do

• Data Cleansing, Management & Processing: Execute daily, weekly, and monthly data capture and process management tasks. Evaluate large volumes of customer and product information to accurately cleanse, match, and categorize Store Master and Product Master databases.

• External & Internal Data Engagement: Interact directly with external data sources to ensure data is received timeously. Collaborate with internal teams (Operational Intelligence, Client, and Technical teams) to fulfill briefing requirements and support project execution.

• Quality Assurance & Troubleshooting: Enforce data standard processes to maintain high data integrity. Investigate data inconsistencies, troubleshoot root causes, and resolve discrepancies independently or in conjunction with technical teams.

• Process Optimization: Identify and recommend ongoing productivity refinements and operational improvements in data management workflows.

• Ad-Hoc Projects & Delivery: Deliver monthly reporting frameworks to end users, execute ad-hoc operational or GIS tasks, and assist in onboarding and sharing learnings with new team members.