Data Insights Analyst - Credit Analytics & Dashboards

Experian

Johannesburg

On-site

ZAR 600,000 - 900,000

Full time

3 days ago
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Job summary

Experian is seeking an Analyst to join the Data Insights and Attributes team, delivering insights from client, credit bureau, and alternative data sources. You will support priority projects, collaborate with a team, and help develop reporting and analytics solutions.

The role requires strong Python experience, knowledge of SAS/SQL, and dash- boarding with Power BI, with emphasis on data quality, monitoring, and delivering high-quality outcomes to stakeholders.

Qualifications

  • Bachelor’s or higher in a highly quantitative field such as Mathematics, Statistics, Economics, Physical Sciences, Engineering or Actuarial Science.
  • Minimum 4 years’ experience in data analysis or analytics.
  • Experience developing analytical products and client-facing solutions.

Responsibilities

  • Execute and deliver data analytics projects aligned with business objectives.
  • Develop, maintain, and enhance bureau and bespoke client attributes.
  • Extract, transform, validate, and analyse data from multiple sources.
  • Deliver custom analytical solutions for clients and internal stakeholders.
  • Analyse benchmark reports and monitoring packs to identify trends and insights.

Skills

Python
SAS
SQL
GitHub
Power BI
Data analysis
Data quality management
Attribute development
Attribute monitoring
Big data concepts

Education

Degree in Mathematics / Statistics / Economics / Physical Sciences / Engineering / Actuarial Science

Tools

SAS
Power BI
Cloud platforms
ETL processes
Data warehousing

Job description

Experian is seeking an Analyst to join the Data Insights and Attributes team, delivering insights from client, credit bureau, and alternative data sources. You will support priority projects, collaborate with a team, and help develop reporting and analytics solutions.

The role requires strong Python experience, knowledge of SAS/SQL, and dash- boarding with Power BI, with emphasis on data quality, monitoring, and delivering high-quality outcomes to stakeholders.

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