Job Description
Responsibilities:
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Building and maintaining data models.
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Extracting, cleaning, and consolidating data from multiple sources.
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Creating dashboards and visual reports for operational and strategic use.
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Conducting exploratory data analysis to identify trends and opportunities.
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Building simple automation and optimization tools using Python and Excel.
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Collaborating with engineers, product managers, and stakeholders to translate business needs into actionable insights.
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Improving data delivery pipelines and enhancing data quality.
Minimum Requirements:
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A tertiary qualification in Computer Science, Information Systems, Engineering, or a related field.
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A minimum of 2 years of experience in a Data Science or Data Analytics role.
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Proficiency in English.
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Strong problem-solving skills and a willingness to challenge assumptions.
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Experience in exploratory data analysis and visual storytelling.
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Experience creating stakeholder-facing dashboards using tools like AWS QuickSight or Google Data Studio.
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Experience using Jupyter notebooks.
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Experience with operational and performance analytics across sales, customer, and product data.
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Advanced SQL for querying structured datasets.
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Solid experience using Python for data manipulation and analysis.
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Proficiency in data visualization and dashboard creation.
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Strong working knowledge of Microsoft Excel.
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Understanding of ETL concepts and data pipeline fundamentals.
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Familiarity with cloud environments such as Google Cloud or AWS is a plus.
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A basic understanding of statistics and hypothesis testing.
Benefits:
- Competitive salary based on experience (salary can potentially be more based on experience/skills)
IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to *****@*****.co.za
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