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Cape Town: Business Analyst (Data Engineering) (EE ONLY) (CPT) posted by Datafin



Datafin



Western Cape



Other IT/Computer

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Job Description

Business Analyst (Data Engineering) (EE ONLY) (CPT)Engineering/Technical ~ IT – Analyst, Data Management
Cape Town – Western Cape – South Africa

ENVIRONMENT:
PLAY a key role in partnering with business stakeholders to understand, document, and translate their data, reporting, and analytical needs into scalable, engineering-led solutions as the next Business Analyst (Data Engineering) sought by a reputable Multinational company. You will help ensure that data models, integrations, and reporting frameworks align with business processes and operational needs. By enabling structured, well-defined requirements, the Engineer: Business Analyst helps to deliver robust, data-driven solutions that improve business decision-making and efficiency. Please note this is an Employment Equity role ONLY.
DUTIES:
  • Engage with business users to gather, document, and validate their data, reporting, and analytical requirements.
  • Collaborate with Data Architects and Engineers to design efficient and scalable data solutions that support business processes.
  • Translate business needs into technical specifications, ensuring alignment with data models, source-to-target mappings, and ETL/ELT processes.
  • Support the development and implementation of data-driven solutions, including cloud-based BI dashboards and structured reports.
  • Perform Functional Testing and data validation before solutions are deployed to business users.
  • Assist business stakeholders during User Acceptance Testing (UAT) to ensure solutions meet expectations.
  • Ensure consistency in reporting metrics and data definitions, reducing ambiguity in business reporting.
  • Provide training and user support to enable Business teams to effectively use reporting tools and cloud-based data solutions.
  • Provide input into data governance initiatives, including metadata management, data lineage, and data quality improvements.
  • Support Business teams in maintaining high standards for data accuracy and consistency.
  • Identify and support automation opportunities, reducing reliance on manual processes and increasing efficiency.
  • Stay up to date with industry trends, continuously improving engagement models and reporting frameworks.
REQUIREMENTS:
Qualifications
  • Bachelors Degree in Data Analytics, Information Systems, Computer Science, Business, or a related field.
Experience/Skills
  • Minimum 5 years of experience in a Business Analysis-related role, with at least 3 years in a data, analytics, or cloud-based reporting environment.
  • Strong knowledge of Business Analysis techniques and methodologies, including requirements gathering, process modelling, stakeholder management, and impact assessment.
  • Experience working in data and reporting environments, collaborating with Data Architects, Data Engineers, and Business teams.
  • Familiarity with the retail industry and business processes, understanding how data, reporting, and cloud solutions support operations and decision-making.
  • Hands-on experience with SQL, structured reporting, and visualization tools (Power BI, Qlik Sense, QuickSight, SSRS).
  • Strong understanding of data warehouse best practices, including star schema, dimensional modelling, and ETL/ELT processes.
  • Experience working with AWS, Azure, or Google Cloud data platforms, including S3, Redshift, and data lakes.
  • Ability to create functional and technical specifications for data and reporting solutions.
  • Awareness of metadata management, data lineage tracking, and data security best practices.
  • Ability to work within structured methodologies for cloud-driven, scalable data architecture, integration, and reporting.
ATTRIBUTES:
Business Acumen: Ability to understand business processes and how cloud-based data solutions enhance operations.
Collaboration & Communication: Strong engagement skills to work with business, IT, and cloud/data teams.
Problem-Solving: Ability to troubleshoot reporting issues, resolve data inconsistencies, and improve processes.
Attention to Detail: Ensures the accuracy and reliability of data insights presented to stakeholders.
Adaptability & Continuous Learning: Keeps up with emerging trends in cloud, data lakes, and analytics technologies.
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