Data Analyst

Kelly Sinclair Recruitment Partners; Durban; On-site; ZAR 300 000 - 400 000; Full time

Job summary

A well-known South African financial services company is seeking a Data Analyst to develop and manage reporting models. Responsibilities include preparing daily reports, managing technical issues, and conducting data analysis using SQL. Candidates should possess a Bachelor's degree in Finance or a related field, along with 5 years of experience in data analytics. This role offers an opportunity to collaborate with Data Science teams on advanced analytics and automation projects.

Qualifications

• 5 years’ experience in Data Analytics, Modelling & Reporting.
• Credit underwriting experience would be an advantage.

Responsibilities

• Prepare and circulate daily reports to relevant stakeholders.
• Manage system / technical issues by logging service desk tickets with IT.
• Track all system / policy / operational changes made.
• Compile Month End reports and distribute in a timely manner.
• End‑to‑end system testing.
• Monthly analysis on key Credit Risk areas.
• Use SQL to extract and analyse data to make data‑driven recommendations.
• Work closely with the Data Science team on AI models.
• Automation of reports and processes.

Skills

Proficiency in SQL

Advanced Excel

Data Analysis

Data Modelling

Reporting

Education

Bachelor’s degree in Finance, Economics, Mathematics, Business Science, or similar

Honours degree preferred

Job description

Overview

Our client, a well‑known South African company in the financial services sector, is on the search for a Data Analyst to develop, manage, and monitor relevant reporting models, provide advanced analytical support, critically analyse and advise the department on data‑driven insights and trends, and create and maintain accurate data, dashboards, and management reports.

Responsibilities

• Prepare and circulate daily reports to relevant stakeholders
• Manage system / technical issues by logging service desk tickets with IT
• Track all system / policy / operational changes made
• Compile Month End reports and distribute in a timely manner
• End‑to‑end system testing
• Monthly analysis on key Credit Risk areas
• Use SQL to extract and analyse data to make data‑driven, actionable recommendations about how to improve policies and processes
• Work closely with the Data Science team to price and implement Machine Learning or AI models that optimise portfolio outcomes
• Automation of reports and processes

Qualifications

• Bachelor’s degree in Finance, Economics, Mathematics, Business Science, or similar (Honours degree preferred)
• Proficiency in SQL
• Advanced Excel
• 5 years’ experience in Data Analytics, Modelling & Reporting
• Credit underwriting experience would be an advantage