Senior Data Analyst
Midrand, GP, South Africa
Experience: 8+ years
Start Date: Immediate
Job Description:
We are seeking an experienced Data Analyst to join our 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Science Data analysis Databricks Data management Data visualization ETL Finance Power BI Python SAS Spark SQL Statistical modeling Statistics
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