Senior Data Analysts

SavageOne Pty Ltd; Midrand; On-site; ZAR 90,000 - 100,000; Full time

Job summary

A leading company in the insurance and finance sector is seeking an experienced Data Analyst to join their team. The ideal candidate will possess over 8 years of experience and be proficient in SQL, Python, and various data visualization tools. Responsibilities include collecting and analyzing data, developing ETL processes, and collaborating with teams to provide actionable insights. If you are a detail-oriented analyst with a strong background in the necessary skills, we encourage you to apply.

Qualifications

• 8+ years of experience in data analysis.
• Proficiency in SQL and Python required.
• Strong analytical skills and teamwork abilities.

Responsibilities

• Collect and analyze large datasets from multiple sources.
• Develop and maintain ETL processes.
• Utilize Databricks and the Spark Framework for data processing.

Skills

SQL

Spark

Git

Python

machine learning libraries

Power BI

interactive visualization tools

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Bachelor's degree in Statistics

Tools

Databricks

AWS

SAS

Job description

R 90,000.00 - 100,000.00 (South African Rand)

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.