Enterprise Data Product Analyst & Value Architect

Vodafone; Midrand; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Retirement funds

Medical aid

Staff discounts

Job summary

Vodafone's Vodacom Campus in Midrand is seeking a Data Product Analyst to translate business needs into clear data requirements and drive measurable commercial outcomes. You will bridge business stakeholders with data engineering, analytics and science teams, consolidating requirements across markets and domains, and supporting the Head of Data in delivering enterprise data value.

Ideal candidate has 5–7 years in BA/data analysis, a Bachelors in IS, and relevant certifications to advance data

Qualifications

• 5–7 years of experience in business analysis or data analysis within a data-driven environment.
• Bachelor’s degree in Information Systems or related field (essential).
• Postgraduate qualification or professional certification in Business Analysis (advantageous).

Responsibilities

• Elicit, document and validate business and data requirements across Group domains and operating companies.
• Translate complex business problems into actionable data requirements, user stories and functional specifications.
• Map business objectives and value drivers to data sources, data products and use cases with traceability from need to data asset.
• Bridge between business stakeholders, data engineering, analytics and data science teams; maintain requirements artefacts and manage risks.
• Promote data governance, literacy and informed decision making with data documentation and governance support.

Skills

Business analysis

Data analysis

Stakeholder management

Agile delivery

Education

Bachelor’s degree in Information Systems

Postgraduate qualification in Business Analysis (CBAP/CCBA)

Job description

Vodafone's Vodacom Campus in Midrand is seeking a Data Product Analyst to translate business needs into clear data requirements and drive measurable commercial outcomes. You will bridge business stakeholders with data engineering, analytics and science teams, consolidating requirements across markets and domains, and supporting the Head of Data in delivering enterprise data value.

Ideal candidate has 5–7 years in BA/data analysis, a Bachelors in IS, and relevant certifications to advance data