Root-Cause Data Analyst for Product Improvement

Synergy AI (Pty) Ltd; Gauteng; On-site; ZAR 420,000 - 720,000; Full time

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.