Data Analyst

SUMMARY:
On the hunt for a Data Analyst in Johannesburg!

POSITION INFO:
In today’s data-driven world, insight is power - and we’re looking for a Data Analyst who can turn raw data into real business results.

This role is perfect for someone who thrives on uncovering patterns, optimising operations, and providing decision-makers with the clarity they need to move fast and with confidence.

If you’re passionate about data, business intelligence, and creating measurable value, then this opportunity is made for you.

Reach out to:

Duties:

• Collect, clean, validate, and analyse large datasets from various sources to deliver actionable insights.
• Develop and maintain dashboards, reports, and visualisations using tools such as Power BI, Tableau, or similar.
• Work with cross-functional teams to define key metrics, track performance, and support strategic objectives.
• Translate business questions into data models, queries, and analysis plans.
• Conduct exploratory data analysis to identify trends, patterns, anomalies, and opportunities for optimisation.
• Assist in forecasting, modelling, and performance measurement initiatives.
• Present findings to stakeholders in a clear, concise, and compelling way.
• Ensure data governance, accuracy, and consistency across reporting systems.

• Matric (Grade 12)
• Bachelor’s degree in Computer Science, Information Technology, Data Science, Business Analytics, or a related field.

• Minimum of 3–5 years of experience in a data analysis or business intelligence role.
• Proven track record of working with large datasets and producing business-oriented insights.
• Experience in working with modern data tools and databases (SQL, Excel, Power BI/Tableau).
• Exposure to data warehousing, ETL processes, or cloud platforms (Azure, AWS, GCP) is a plus.
• Previous work in finance, telecommunications, FMCG, or consulting sectors beneficial.

• Strong proficiency in SQL and Excel; knowledge of Python or R for data manipulation is a plus.
• Expertise in building data visualisations and interactive dashboards.
• Solid understanding of statistical analysis, data modelling, and forecasting techniques.
• Excellent problem-solving and critical thinking skills.
• Ability to manage multiple tasks and projects while meeting deadlines.
• Clear and confident communicator, capable of simplifying complex data concepts for non-technical stakeholders.
• High attention to detail and a passion for accuracy and data integrity.
• A curious, analytical mindset with a proactive attitude toward learning and innovation.