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Computer Science jobs in South Africa
Customer Service BI Specialist (Chinese Speaker)
Binance
South Africa
Remote
ZAR 500,000 - 700,000
25 days ago
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Director, AI Deployment Acceleration
Standard Chartered
Kempton Park
On-site
ZAR 1,200,000 - 1,500,000
25 days ago
OM Bank - Front-end Flutter Technical Lead
Old Mutual
Cape Town
On-site
ZAR 600,000 - 800,000
26 days ago
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Connect with headhunters to apply for similar jobsCadet Training Programme : Information Technology
The Competition Commission South Africa
Pretoria
On-site
ZAR 43,000
27 days ago
Head – Data Management and Engineering
Msp Staffing (Pty) Ltd
Johannesburg
On-site
ZAR 1,200,000 - 1,500,000
29 days ago
RPA (UiPath) Engineer
Dina Gates Recruitment (Pty) Ltd
Cape Town
On-site
ZAR 480,000 - 600,000
16 days ago
WFS Senior Data Ops Engineer
Woolworths Financial Services
Cape Town
Hybrid
ZAR 600,000 - 800,000
16 days ago
AI Solutions Architect — Build Next-Gen AI Systems
E-Merge IT Recruitment
Pretoria
On-site
ZAR 1,200,000
16 days ago
Frontend Software Engineer: Java, Vue & TypeScript
AiR
Stellenbosch
On-site
ZAR 600,000 - 800,000
16 days ago
Data Services Engineer: ETL, APIs & Scalable Platforms
AiR
Stellenbosch
On-site
ZAR 500,000 - 700,000
16 days ago
Digital Transformation Lead - Low-Code/No-Code
BAs for Hire
Cape Town
Hybrid
ZAR 300,000 - 400,000
16 days ago
Customer Service BI Specialist (Chinese Speaker)
Binance
Remote
ZAR 500 000 - 700 000
Full time
25 days ago
Job summary
A leading cryptocurrency exchange in South Africa is seeking a Data Analyst to collect and analyze user data, develop dashboards, and provide actionable insights to improve performance. The ideal candidate will have 3-5 years of experience in data analysis, proficiency in SQL and Python, and a relevant degree. Strong problem-solving skills and attention to detail are crucial for success in this role.
Qualifications
- Minimum of 3-5 years of experience in a business intelligence or data analysis role.
- Proven track record of analyzing complex data sets.
- Strong understanding of database management and data warehousing concepts.
- Ability to communicate complex data insights clearly.
Responsibilities
- Collect, organize, and analyze user data from customer service.
- Develop and maintain dashboards and reports.
- Provide data-driven recommendations to improve performance.
- Conduct root cause analysis on KPIs.
Skills
Data analysis
SQL
Python
Data visualization
Statistical analysis
Problem-solving
Attention to detail
Education
Bachelor’s degree in Data Science or related field
Tools
Tableau
Power BI
Job description
Responsibilities
- Collect, organize, and analyze user data from the customer service department and other related systems to identify user behavior patterns and issue trends.
- Develop and maintain dashboards and reports to provide real-time insights into key metrics.
- Provide data-driven recommendations to improve team performance and operational efficiency.
- Collaborate with team leaders to implement solutions and track the impact of changes.
- Conduct root cause analysis to identify underlying issues affecting KPIs (CSATs, resolution rate, etc).
- Translate complex data into clear and actionable insights for senior management.
- Support strategic decision-making by providing in-depth analysis and forecasting.
- Ensure data accuracy and integrity by implementing best practices in data collection, storage, and analysis.
- Communicate findings and recommendations effectively to stakeholders at all levels.
- Collaborate with cross-functional teams to align on goals and drive initiatives.
- Provide training and support to team members on data analysis tools and techniques.
Requirements
- Minimum of 3-5 years of experience in a business intelligence, data analysis, or similar role.
- Proven track record of analyzing complex data sets and providing actionable insights.
- Experience in the crypto, financial services or compliance industry is a plus.
- Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
- Proficiency in data analysis tools such as SQL, Python, R, or similar.
- Experience with data visualization tools like Tableau, Power BI, or similar.
- Strong understanding of database management and data warehousing concepts.
- Familiarity with statistical analysis and predictive modeling techniques.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Ability to communicate complex data insights clearly and concisely.
- Strong organizational and time management skills.
- Ability to work independently and as part of a team.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.