Data Analyst

Global One; Cape Town; On-site; ZAR 334,800 - 558,000; Full time

Job summary

A global technology company is seeking a passionate certified Data Analyst located in Cape Town. The successful candidate will turn data into meaningful insights for business decisions. Key responsibilities include interpreting data, developing databases, and optimizing data analytics. Candidates should have a degree in Mathematics, Economics, or related fields, with proficiency in data analysis tools like Excel and SPSS. This position offers opportunities for continuous growth and process improvement.

Qualifications

• Proven experience as a Data Analyst or Business Data Analyst.
• Technical expertise in data modeling, database design, and development.
• Strong analytical skills and attention to detail.

Responsibilities

• Interpret data and provide ongoing reports using statistical techniques.
• Develop databases and data collection systems to optimize efficiency.
• Identify trends or patterns in complex data sets.

Skills

Data analysis

Statistical analysis

Report writing

Problem solving

Education

BS in Mathematics, Economics, Computer Science, Information Management or Statistics

Tools

Excel

SPSS

SAS

Job description

We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions.

Requirements

• Proven working experience as a Data Analyst or Business Data Analyst
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics

Responsibilities

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities