Junior Data Analyst

GENERAL PURPOSE

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 stakeholder\s 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
  •Negotiate 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