Data Insights Analyst — Banking Analytics & BI

Old Mutual Limited

Johannesburg

On-site

ZAR 350,000 - 520,000

Full time

5 days ago
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Job summary

Old Mutual Limited in Johannesburg invites applications for a Data Analyst at OM Bank. You will analyse data, build dashboards in Power BI, and translate insights into actionable business outcomes.

This role emphasizes stakeholder collaboration, data governance, and delivering measurable improvements in customer experiences and operational efficiency. You will collect, validate, and model data from multiple sources, monitor KPIs, and present findings clearly to technical and non-technical

Qualifications

  • Bachelor's degree in Data Analytics, Statistics, Mathematics, or a related field.
  • 1 to 2 years of experience in data analytics or BI roles.
  • Experience with Power BI.
  • Experience with SQL for data extraction and analysis.
  • Exposure to Python or R is advantageous.
  • Experience in banking/financial services is beneficial.

Responsibilities

  • Analyse data from multiple sources to identify trends and opportunities.
  • Develop dashboards and reports to support decision making and performance monitoring.
  • Prepare, clean and validate data for analysis and reporting.
  • Engage with stakeholders to translate requirements into analytical outputs.
  • Support the development of measurement frameworks and KPIs.
  • Identify opportunities to improve operational efficiency and customer outcomes.
  • Ensure data governance and data quality standards are followed.

Skills

Power BI
SQL
Python
R

Education

Bachelor's degree in Data Analytics or related field

Tools

SQL
Python

Job description

Old Mutual Limited in Johannesburg invites applications for a Data Analyst at OM Bank. You will analyse data, build dashboards in Power BI, and translate insights into actionable business outcomes.

This role emphasizes stakeholder collaboration, data governance, and delivering measurable improvements in customer experiences and operational efficiency. You will collect, validate, and model data from multiple sources, monitor KPIs, and present findings clearly to technical and non-technical

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