Junior Data Analyst at Absa Group Limited (Absa)

Job Summary

• The role focuses on analyzing and interpreting complex data sets to deliver actionable insights and business recommendations. It involves collaborating with Data Science, Data Engineering, and BI teams to design and implement end-to-end data solutions that address business needs.
• The position requires translating business questions into data requirements, applying advanced analytics techniques, and presenting findings through clear storytelling and impactful visualizations. Continuous learning and staying ahead of data science trends are essential to drive innovation and optimize data-driven decision-making.

Job Description

• Performs data analysis, for actionable insights, leveraging a range of data sources and relevant tools, with a curiosity to always keep learning (SAS, SQL, Power BI, Excel, Python, Hadoop, AWS, SalesForce Marketing Cloud, GitHub, Confluence, Jira).
• Collaborates closely within a wider ecosystem team of Data Science, Data Engineering & Business Intelligence, growing knowledge of how each one of these functions and how to put end-to-end data solutions together.
• Presents data solutions in a way that speaks to the specific audience and takes them on a journey towards practical actions and solutions.
• Translate business questions to be solved into data requirements and define a data solution to deliver against these requirements.
• Proactively partner with Data Engineering team to refine data requirements and ensure the delivery of high-quality raw data to the Data Science team for model building.
• Design fit for purpose data interpretation and analysis approaches and create customized data solutions to achieve the desired business outcomes.
• Use advanced data analytics skills to mine and interpret data. These include but are not limited to: advanced statistics, data mining, data analysis and data intuition.
• Analyse and interpret complex data sets.
• Produce business insights and recommendations based on data analysis.
• Use storytelling and data visualization techniques to maximize impact and deliver a user-friendly product to business
• Contribute to the consolidation of data solutions into viable end products (in the language of business) that can be leveraged on an ongoing basis e.g. dashboards, reports etc.
• Present data analysis (trends, insights, forecasts) and findings to business and show tangible business impact to be derived from the data science process.
• Contribute to the assessments of the effectiveness and accuracy of new data sources and data gathering techniques.
• Promote data literacy with your business stakeholders by sharing best practices and showing tangible business impact and recommendations as a direct result of thedata solutions provided.
• Stay ahead of the curve on data science trends & leading practice data science tools and techniques & transition the organisation to advanced methods for the continuous optimization of data.
• Conduct research from which you'll develop prototypes and proof of concepts
• Look for opportunities to use insights/datasets/code across other functions in the organisation .
• Stay curious and enthusiastic about using algorithms to solve complex problems.
• Listen and ask questions to understand business opportunities and challenges, promoting data to play a key role in adding business value.

Education

• Degree: Data Science, Computer Science, Statistics, Mathematics

Skills

• Programming languages (Python, SQL, etc)
• Data Visualization (Power BI, Data Storytelling)
• Statistical Analysis (Hypothesis testing, regression, probability distributions)
• Machine Learning Basics (Clustering, classification)

Education

• Higher Diplomas: Physical, Mathematical, Computer and Life Sciences (Required)

End Date: November 28, 2025