Where

Data Analyst

Executive Placements
Centurion Full-day Full-time

Description:

The suitable candidates main responsibilities and duties include, but are not limited to, the following:��

Data Collection & Processing
Gather and clean data from multiple sources, including databases, APIs, and spreadsheets. Ensure data accuracy, completeness, and consistency. Automate data collection and processing tasks where possible. Data Analysis & Interpretation
Analyze large datasets to identify patterns, trends, and correlations. Use statistical techniques to interpret data and generate reports to Provide insights that support business decisions and optimize processes. Data Visualization & Reporting
Create dashboards, charts, and reports using tools like Excel, Tableau, Power BI, or Python. Present findings to stakeholders in a clear and actionable manner. Develop interactive visualizations to facilitate data-driven decision-making. Database Management & Querying
Work with databases (SQL, NoSQL) to extract and manipulate data. Optimize data structures for efficiency and performance. Ensure data integrity and security compliance. Business Intelligence & Decision Support
Collaborate with cross-functional teams to understand data needs. Provide insights to improve operational efficiency, customer experience, and profitability. Assist in predictive analytics and machine learning initiatives when required. Continuous Improvement & Innovation
Stay updated with industry trends and emerging technologies in data analytics. Recommend improvements in data collection, processing, and reporting techniques. Support automation efforts to enhance efficiency and accuracy. The suitable candidate shall have the following qualifications/attributes/skills:��
Bachelors degree in data science, Statistics, Computer Science, Economics, Mathematics, or a related field. Drivers licenseâ?¯- own transport Proficiency in SQL for data querying. Experience with data visualization tools (Tableau, Power BI, or Google Data Studio). Knowledge of programming languages like Python or R. Strong Excel skills for data manipulation and reporting, with the ability to analyze large datasets and extract meaningful insights. Strong problem-solving and critical-thinking abilities. Effective communication skills to present findings to stakeholders. Attention to detail and a data-driven mindset. Experience with cloud platforms (AWS, Google Cloud, Azure) is a plus. Familiarity with machine learning concepts and tools & understanding of business intel
02 Mar 2025;   from: gumtree.co.za

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