Business Analyst | Managed People Solutions | Gauteng | Johannesburg at Managed People Solutions

Duties and responsibilities

• Oversee data collection, storage, and integration processes to ensure data quality, accuracy, and security. Champion data governance practices to maintain data consistency and compliance with regulations.
• Utilize advanced analytics techniques and tools to extract valuable insights from structured and unstructured data. Translate complex data into clear, actionable recommendations for various stakeholders.
• Develop and maintain dashboards and reports to provide real-time and historical data insights to key stakeholders across the organization. Ensure data-driven decision-making is promoted at all levels.
• Drive the development and implementation of predictive and prescriptive analytics models to forecast trends, identify opportunities, and optimize business processes.
• Ensure the effective communication of analytical findings through compelling data visualizations and presentations that are accessible to non-technical stakeholders.
• Work closely with other departments , such as Marketing, Finance, and  to support their analytical needs and align analytics initiatives with business objectives.
• Stay up to date with the latest analytics tools, technologies, and methodologies. Evaluate and recommend suitable software and infrastructure improvements to enhance the analytics capabilities of the organization.
• Establish Key performance indicators (KIPs) to assess the effectiveness and impact of analytics initiatives. Regularly report on progress to the executive team and propose a Adjustments as needed.

Qualifications and Requirements 

• Grade 12
• Degree in Statistics, Mathematics, Computer Science, Business Analytics or related fields.
• Honours or master’s degree in Statistics, Mathematics, Computer Science, Business Analytics or related fields. (Beneficial)
• Strong understanding of database structures, data warehousing, and data integration techniques.
• Familiarity with machine learning algorithms and their application to business problems.
• Proficiency in using analytical tools and programming languages such as Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI).

Skills and experience

• Minimum 8 years’ experience in the Wholesale and Retail Industry in senior Analytics/innovation role.
• Ability to align analytics initiatives with broader business strategies.
• Project Management
• Collaboration
• Effective Communication
• Problem Solving
• Presentation Skills (ability to convey technical concepts to non-technical stakeholders.)
• Resilience
• Detail orientation
• Analytical skills