Responsible for importing, cleaning, transforming, and validating, modelling data with the purpose of migrating data from source systems to a target system and reporting as per business requirements and campaign management.
RESPONSIBILITIES
Turn data into information, information into insight and insight which support business decision making,
Communicate with Business to identify relevant data and data sources
Collaborate with data stakeholders to define data extraction and transformation rules
Acquire data from primary and secondary data sources and maintain databases/data systems
Perform detailed analysis and identify data and business rule trends
Manipulate data to conform to the data rules as defined by business
Develop and implement data collection systems and other strategies that optimize data quality
Identify data anomalies and communicate their impact with the business
Communicate data requirements to the business
Test, validate and reconcile uploaded data
Direct business resources on where to store the data.
Use sources of information and media to gain new knowledge and skill.
Develop, enhance and run regular reports to support operation requirements
Explore and analyze datasets with tools like Excel
Identify data required to answer questions
Execute data analysis and interpret data based on business requirements
Perform data quality tests on data sources
Visualize data insights and communicate your findings to various teams across the organization
Ensure data quality and alignment between business units
Continuous business and industry research to provide guidance around data governance and data management
Analyze and make use of national and local data & insight to design and deliver customer focused services that address the priority areas of CRM
Provide timely and Accurate data required to help stakeholders to report
Identify and define the data requirements necessary to support different business requirements or integrated application and subject areas.
Identify and define the security requirements necessary to protect the data items.
Identify and define the business rules associated with the data; these should include all data integrity / constraint requirements.
Identify and perform detailed analysis of all data sources for each application and subject area.
Perform data profiling of data contained in source systems.
Provide detailed analysis of all data implemented into the database.
Provide the data mapping and associated transformation rules for each data item.
Ensure that the business requirements and subsequent development activities are supported by accurate information
Extract and draw up data cleansing specifications
Validate data models against the business- and data requirements.
Ensure the quality, accuracy, integrity and conformity to standards of all models.
Provide accurate Master data, which allows full understanding of the project data components.
Work with modelling tools and data repository to maintain project deliverables
Daily statistical analysis
Creation of forecast i.e. Weekly, bi weekly, monthly, annually oNegotiate with senior stakeholders to deliver resourcing and strategic requirements
Work with the line managers to understand the current pipeline of work that is expected over the short term (less than 3 months) and the medium term. Use this information to understand the expected resourcing and campaign design requirements that may be required over these periods to plan ahead
Ensure data integrity and accuracy, of all outputs ; Analyze resourcing data and highlight any concerns in periods of peak, training or non chargeable activities (shrinkage) which will impact business performance
Understand the drivers behind occupancy and occupancy management;
MI and Reporting: Understand resource management reporting requirements, and deliver all reports as per business accordingly
Interpret trends and identifying potential resourcing issues from weekly reporting and escalating issues where appropriate
Demonstrate strong commercial awareness to provide insight to the Business, highlighting any concerns of staff shortfall, over/under occupancy and Provide robust commentaries to support analysis
Provide post-campaign report analysis through conducting customer segmentation, propensity models, and/or statistical insight analysis
Preparations campaign briefs
Provide strategic insights around the data generated from camp
EDUCATION:
Matric
Data analytics qualification: Data science, MIS
EXPERIENCE & SKILLS:
2yrs experience in a contact centre (Inbound & or Outbound)
Experience working with contact centre monitoring systems
Report design
Proficient in MS Excel,
Logical reasoning
Detail oriented and work with a high degree of accuracy
Analytical, diagnostic and problem solving skills
Data identification, integration, validation, interpretation,
Proficient in MS Excel,
Analytical, diagnostic and problem-solving skills
Data identification, integration, validation, interpretation,
Database, extraction and manipulation
Data Analysis
Data profiling
Proficiency in data mining and compilation
Ability to work with big and unstructured datasets.
Run datasets and develop standard reports
Deadline driven and able to work under pressure
Communication, written and verbal
Must be self-directed and able to complete projects with limited supervision
Ability to multi-task and prioritize projects
DESIRABLE:
Adaptable to changing business priorities
Tech-savvy, Knowledge of data analysis tools
Self-motivated
Customer Excellence
Campaign management
Experience in resource planning
Closing Date: 07 November 2025
If you do not receive a response to your application within two weeks, please consider your application unsuccessful
Job Type: Full-time
Work Location: In person
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