Client Success Architect — AI Analytics & Insights

Smollan Technologies

Durban

On-site

ZAR 350,000 - 550,000

Full time

10 hours ago
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Job summary

Smollan Technologies in Durban is seeking a Client Success Executive to help clients leverage our AI-powered data solutions and dashboards to drive business outcomes. You will partner with Client Success Manager and cross-functional teams to deliver tailored reporting, visualisations, and ongoing data quality enhancements, ensuring data-driven decision making for clients.

The role emphasizes training, onboarding, and proactive support to maximise platform adoption and client satisfaction across

Responsibilities

  • Client Engagement and Reporting: Partner with CMR and Brand Management teams to provide data-driven insights, working closely with the Client Success Manager to meet contractual commitments and deliver tailored reporting solutions.
  • Data Visualisation and Analytics: Lead the setup and ongoing enhancement of data visualisation reports, applying advanced analytics to support client decision-making and uncover actionable insights.
  • Data Integrity and Management: Execute monthly data management and validation processes in collaboration with the Operations team to ensure data accuracy and reliability across all client deliverables.
  • Performance Monitoring and Maintenance: Maintain and update client trackers, ensuring deliverables are accurately reflected and timelines are adhered to, while continuously monitoring data sources for consistency and quality.
  • Training and Support: Deliver comprehensive monthly reporting frameworks and provide end-user training to enhance client capabilities in leveraging data for strategic outcomes.

Job description

Smollan Technologies in Durban is seeking a Client Success Executive to help clients leverage our AI-powered data solutions and dashboards to drive business outcomes. You will partner with Client Success Manager and cross-functional teams to deliver tailored reporting, visualisations, and ongoing data quality enhancements, ensuring data-driven decision making for clients.

The role emphasizes training, onboarding, and proactive support to maximise platform adoption and client satisfaction across

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