C
Data Analyst I
Capitec
South Africa · On-site Full-time Today
About the role
Application Steps
- To see what life at Capitec is all about and complete a short assessment, please click here
- Once you have completed the above finalize your application by clicking apply below.
Purpose Statement
- The Data Analyst role exists to unlock value from data by making data accessible and meaningful to stakeholders across the organization. This role transforms data into actionable insights that support strategic decision‑making, optimize operations, and drive business performance. By identifying trends, patterns, and opportunities, the role enables informed, data‑driven decisions and contributes directly to the company’s strategic objective of being an insights‑driven organization.
Experience
- NB. Length of experience required is conditional on the qualifications obtained but must include:
- Experience in data analysis, preferably within the financial services or retail sector.
- Experience in contributing to data analysis projects
- In using data analysis tools and software (e.g., SQL, Python, R, Tableau, Power BI).
- Experience in performing data analysis and statistical modelling.
- Experience working with cross‑functional teams (e.g., finance, marketing, IT) to support business requirements and the provision of data‑driven insights.
- Ability to communicate findings and recommendations to non‑technical stakeholders.
- Exposure to financial products and services and market trends and their impact on data analysis.
Qualifications (Minimum)
- Bachelor's Degree in Analytical/Data/Technical or Other
Qualifications (Ideal or Preferred)
- Honours Degree in Analytical/Data/Technical or Other
Knowledge
- Basic understanding of basic SQL commands and queries to extract and manipulate data.
- Proficiency in using Excel for data analysis, including functions, pivot tables, and basic formulas.
- Familiarity with basic features of Data Visualization Tools Power BI, or similar.
- Basic knowledge of programming languages (such as Python or R) for data analysis tasks.
- Understanding of fundamental statistical concepts and their application in data analysis.
- Understanding of data cleaning techniques to ensure data quality.
- Knowledge of descriptive statistics to summarize and describe data.
Skills
- Analytical Skills
- Attention to Detail
- Communications Skills
- Computer Literacy (MS Word, MS Excel, MS Outlook)
- Problem solving skills
Conditions of Employment
- Clear criminal and credit record
Diversity Statement
Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.
Requirements
- Experience in data analysis, preferably within the financial services or retail sector.
- Experience in contributing to data analysis projects
- In using data analysis tools and software (e.g., SQL, Python, R, Tableau, Power BI).
- Experience in performing data analysis and statistical modelling.
- Experience working with cross-functional teams (e.g., finance, marketing, IT) to support business requirements and the provision of data-driven insights.
- Ability to communicate findings and recommendations to non-technical stakeholders.
- Exposure to financial products and services and market trends and their impact on data analysis.
- Basic understanding of basic SQL commands and queries to extract and manipulate data.
- Proficiency in using Excel for data analysis, including functions, pivot tables, and basic formulas.
- Familiarity with basic features of Data Visualization Tools Power BI, or similar.
- Basic knowledge of programming languages (such as Python or R) for data analysis tasks.
- Understanding of fundamental statistical concepts and their application in data analysis.
- Understanding of data cleaning techniques to ensure data quality.
- Knowledge of descriptive statistics to summarize and describe data.
Responsibilities
- The Data Analyst role exists to unlock value from data by making data accessible and meaningful to stakeholders across the organization.
- This role transforms data into actionable insights that support strategic decision-making, optimize operations, and drive business performance.
- By identifying trends, patterns, and opportunities, the role enables informed, data-driven decisions and contributes directly to the company’s strategic objective of being an insights-driven organization.
Skills
ExcelMS ExcelMS OutlookMS WordPower BIPythonRSQLTableau
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