Data Analyst: ML Insights & Power BI Dashboards

Network Finance; Wes-Kaap; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Network Finance is seeking a data analysis professional with a strong background in Python, Power BI, and SQL to transform financial data into actionable insights. The role focuses on building dashboards, supporting ML and anomaly detection initiatives, and collaborating across teams to automate and improve reconciliation and alerting processes.

With a minimum of four years in data analysis, you will contribute to data quality, reporting, and analytics maturity within a South African context,

Qualifications

• Bachelor’s degree in Data Science, Statistics, Finance, Economics, Computer Science or related field.
• 4+ years of data analysis experience.
• Proficient in Python, Power BI, Excel, reporting and SQL queries, Microsoft Fabric.

Responsibilities

• Collect, clean, and prepare structured and unstructured financial data for BI environments.
• Support development, evaluation, and documentation of ML and anomaly detection models.
• Create Power BI reports and dashboards to communicate insights to stakeholders.
• Collaborate with cross‑functional teams to deliver actionable, data‑driven insights and support automation, reconciliation, and alerting tools.
• Identify process improvements and stay current with analytics tools and industry best practices.

Skills

Data analysis

Python proficiency

Reporting skills

Education

Bachelor’s degree in Data Science/Statistics/Finance/Economics/CS

Tools

Power BI

Excel

SQL

Microsoft Fabric

Job description

Network Finance is seeking a data analysis professional with a strong background in Python, Power BI, and SQL to transform financial data into actionable insights. The role focuses on building dashboards, supporting ML and anomaly detection initiatives, and collaborating across teams to automate and improve reconciliation and alerting processes.

With a minimum of four years in data analysis, you will contribute to data quality, reporting, and analytics maturity within a South African context,