Business Intelligence Manager
Found in: Talent ZA 2A C2 - 2 weeks ago
- Create, support, and maintain data models, reports, and dashboards to address evolving data requirements.
- Ensure the accuracy and integrity of customer master data
- Conduct in-depth data analysis to uncover valuable insights that support strategic decision-making.
- Develop and maintain advanced analytics models and techniques for forecasting and predictive analysis.
- Assist in ad hoc projects to identify market opportunities and threats.
- Conduct regional analysis to inform strategic planning processes.
- Develop consistent approaches and methodologies for data analysis, automate repeatable tasks and drive process efficiencies
- Create and manage reports, dashboards, and visualizations that effectively communicate data findings to stakeholders.
- Ensure that reports are accurate, up-to-date, and align with business objectives.
- Collaborating with department heads and executives to define KPIs
- Align BI initiatives with the organization's strategic goals and priorities.
- Identify opportunities to leverage data for competitive advantage and business growth.
- Evaluate, select, implement, and manage business intelligence tools and technologies.
- Optimize the use of BI tools to enhance data analysis and reporting capabilities
- Provide training and support to end-users to maximize the utilization of BI tools and resources.
- Address user queries and concerns regarding data and reporting.
- Monitor the performance of KPIs and highlight gaps and opportunities.
- Regularly assess the effectiveness of BI solutions and make adjustments as needed.
Desired Experience & Qualification
- Bachelor's degree in Business Intelligence/ Data Science Computer Science or a related field.
- At least 5 years experience in a similar role with a focus on business intelligence, data analysis, or operations.
- Advanced proficiency in Microsoft Excel and other data analysis tools such as Power BI, Qlikview, SQL
- Familiarity with CRM systems and sales force automation
- Strong proficiency in data analysis and reporting tools such as Excel, QlikView, Power BI, or similar platforms.
- Excellent data modelling and data visualization skills. Knowledge of market analysis and consumer behavior.
- Strong quantitative and qualitative analytical skills.
- Effective communication and presentation skills.
- Detail-oriented with strong problem-solving abilities.
- Project management skills to handle ad hoc projects.
- Knowledge of sales forecasting techniques and economic trends.
- Familiarity with micro-segmentation strategies.
- Ability to work collaboratively in cross-functional teams.
- Prior experience in business intelligence, data analysis, or operations support is preferred
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