BI Product Manager

apartmentMindworx Consulting placeCape Town calendar_month 

What Youll Do:

Own Analytics Products End-to-End:

  • Define and drive the vision, roadmap, and lifecycle of BI products
  • Deliver scalable dashboards and analytics solutions using tools such as Power BI
  • Move analytics from one-off reporting to product-led, continuously evolving solutions

Translate Business Needs into Data Solutions:

  • Partner with stakeholders across Subscriptions, Editorial, Marketing, Finance, and Product
  • Turn business questions into clear analytics requirements and KPIs
  • Act as the bridge between the business and data teams
Define Metrics that Matter
  • Establish and standardise core business KPIs
  • Ensure consistent definitions and calculations across all reporting
  • Enable trusted, decision-ready data across the organisation
Drive Delivery with Data Teams
  • Work closely with:
  • Data Engineers (pipelines and models)
  • BI Developers (dashboards and visualisations)
  • Analysts (insights and interpretation)
  • Ensure timely, high-quality delivery of analytics products
Champion Data Quality and Governance
  • Ensure data is accurate, consistent, and trusted
  • Define and monitor data quality standards and metrics
  • Support governance of business definitions and reporting logic
Drive Adoption and Impact
  • Ensure BI products are actively used in decision-making
  • Measure success through:
  • Adoption and usage
  • Business impact
  • Reduction in manual reporting

What Were Looking For:

Experience
  • 5+ years in Business Intelligence, Analytics, or Data Product roles
  • Proven experience delivering BI or analytics products (not just reports)
  • Strong experience working with cross-functional stakeholders

Technical Skills:

  • Experience with Power BI (or similar tools)
  • Strong understanding of:
  • Data modelling
  • SQL
  • Modern data platforms (e.g. Azure, Databricks)
Product and Business Skills
  • Strong product management capability (roadmaps, prioritisation, delivery)
  • Ability to translate business needs into data solutions
  • Understanding of key business metrics such as:
  • Revenue
  • Acquisition and conversion
  • Retention and churn
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