Root-Cause Data Analyst for Product Improvement

Synergy AI (Pty) Ltd

Gauteng

On-site

ZAR 420,000 - 720,000

Full time

9 days ago
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Job summary

Synergy AI (Pty) Ltd in South Africa is seeking an analyst who applies an industrial-engineering mindset to use data to identify real problems, build cases for fixes, and drive remediation with product teams.

The role emphasizes ad hoc analysis, root-cause investigation and presenting actionable recommendations to executive stakeholders. No data engineering or pipeline work is required.

Qualifications

  • Confident working with and interpreting data independently.
  • Able to query multiple different but interrelated data sources and join them into a single view.
  • Demonstrated root-cause analysis on real business problems.
  • SQL is important, but a working level is sufficient; they must query data themselves.
  • Strong stakeholder management: influencing, negotiating and remediation commitments.
  • Clear communication and data storytelling to non-technical and executive audiences.
  • Proactive and curious: challenges vague requests and works out what the business actually needs.

Responsibilities

  • Ad hoc data analysis and deep dives across the client product lines.
  • Root-cause analysis: taking a symptom and tracing to the underlying cause.
  • Building business cases that quantify the issue and size the opportunity.
  • Partnering with product teams to prioritise and drive remediation through to closure.
  • Presenting findings and recommendations to senior and executive stakeholders with a clear call to action.

Skills

Data interrogation
Data sources integration
Root-cause analysis
SQL
Stakeholder management
Data storytelling
Curiosity

Tools

Power BI
Python
VBA

Job description

Synergy AI (Pty) Ltd in South Africa is seeking an analyst who applies an industrial-engineering mindset to use data to identify real problems, build cases for fixes, and drive remediation with product teams.

The role emphasizes ad hoc analysis, root-cause investigation and presenting actionable recommendations to executive stakeholders. No data engineering or pipeline work is required.

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