Data Analyst - Business Intelligence

About the Role

Our client is looking for a proficient Data Analyst with expertise in Business Intelligence to join their growing analytics team in Randburg . This role is key to transforming raw data into actionable insights that drive strategic business decisions. You will be responsible for developing reports, dashboards, and analyses that provide a clear understanding of business performance, trends, and opportunities. The ideal candidate possesses strong analytical skills, proficiency in BI tools, and the ability to communicate complex data findings effectively to stakeholders, contributing to a data-driven culture within the organization.

Key Responsibilities

• Design, develop, and maintain business intelligence dashboards and reports using tools like Power BI or Tableau.
• Analyze large datasets to identify trends, patterns, and anomalies in business performance.
• Translate business requirements into technical specifications for data extraction and reporting.
• Perform ad-hoc data analysis to support specific business initiatives and answer key questions.
• Collaborate with various departments to understand their data needs and provide relevant insights.
• Ensure data accuracy and integrity throughout the reporting process.

Requirements

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
• 2-4 years of experience as a Data Analyst or in a Business Intelligence role.
• Proficiency in SQL for data extraction and manipulation.
• Experience with BI visualization tools such as Power BI, Tableau, or QlikView.
• Strong analytical and problem-solving skills with meticulous attention to detail.
• Excellent communication and presentation skills to convey insights to stakeholders in Randburg .

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health and wellness benefits.
• Opportunities for professional development and training in data analytics.
• Hybrid work model offering flexibility between office and remote work.
• A dynamic and collaborative work environment focused on data-driven innovation.

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