Senior Data Analysts

SavageOne · Bachelor's Degree · Python · SQL · SAS · Power BI · ETL/ELT · 1 day ago

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Salary

≈ $26k – $52k per year (Estimated)

Location

In office (Midrand)

Seniority

Senior · 8+ years exp

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Nov 2, 2026.

Overview

Company

Impact

Profile match

SavageOne

SavageOne is a South African recruitment firm headquartered in Sandton that sources candidates for client companies through once-off permanent hires and contract staffing. Founded in 2023 with a fully remote team, it charges a flat 9.5 percent placement fee and uses AI-assisted matching to shortlist South African talent for local and overseas employers, including a London-based software purchasing firm. Its open roles for clients span senior .NET, Node.js, Python, PHP and Salesforce developers, QA and performance testers, solution architects, project managers, supply chain managers and talent acquisition staff.

savageone.co · HQ: Sandton, South Africa · IT Staffing & Staff Augmentation · Recruiting & Staffing · Est. 2023

Experience: 8+ years

Start Date: Immediate

Apply only if you possess the following skills within the Insurance and Finance sector:

These skills are mandatory for the role.

Skills

SQL
Spark
Git
Python,
machine learning libraries (e.g., scikit-learn),
Power BI, Qlik, and other interactive visualization tools

Job Description:

We are seeking an experienced Data Analyst to join our clients team. The ideal candidate will have over 8 years of experience in data analysis and be skilled in leveraging various tools and technologies to provide valuable insights. You will be responsible for collecting, processing, and analyzing data to help inform business decisions within the insurance and finance sectors.

Key Responsibilities:

Collect and analyze large datasets from multiple sources
Develop and maintain ETL processes
Utilize Databricks and the Spark Framework for data processing
Write and optimize SQL queries
Create and manage scripts for data manipulation and analysis
Develop data visualizations and reports using Power BI
Work with AWS to manage and analyze cloud-based data
Utilize Python for data analysis and automation tasks
Apply SAS for advanced analytics and statistical modeling
Collaborate with cross-functional teams to understand business needs and provide data-driven insights

Required Skills:

Proficiency in Databricks and the Spark Framework
Strong experience with ETL processes
Advanced scripting skills
Expertise in SQL and Python
Experience with Power BI for data visualization
Familiarity with AWS for cloud-based data management
Proficiency in SAS for statistical analysis

Preferred Experience:

Previous work in the insurance and finance sectors

Qualifications:

Bachelor's degree in Computer Science, Data Science, Statistics, or a related field
8+ years of experience in data analysis or a similar role
Strong analytical and problem-solving skills
Excellent communication and teamwork abilities

Start Date: Immediate

If you are a detail-oriented data analyst with a strong background in the listed skills and experience in the insurance and finance sectors, we encourage you to apply.

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