Food Concepts commenced operations in 2001. From inception, our aim has been clear-cut and focused: to revolutionise the food sector in West Africa and to deliver extraordinary satisfaction to our stakeholders. The journey began with our pioneering of the food court concept in Nigeria - a new and exciting offering for the local market. At the same time, we also imported well-developed QSR (Quick Service Restaurant) brands from South Africa. Since this time we have concentrated on developing our own brands, which already occupy prime market positions. Chicken Republic, as our flagship brand, is a classic success story. Since launching in 2004, Chicken Republic has already opened 55 stores in Nigeria and Ghana. On this basis, we are proud of the brand’s hard-earned reputation as the fastest growing chicken QSR in West Africa and the number 1 chicken QSR in Nigeria (both in revenues and number of outlets). In addition, Chicken Republic was ranked as one of Nigeria’s top 20 brands across all categories (Financial Standards Awards 2009). Our multifaceted business also comprises an Operational Division, Central Kitchen Unit and Supply Chain Division.
Job Purpose
- Data Analysis Manager is responsible for overseeing the data analysis processes within the organization, ensuring accurate data collection, processing, and interpretation.
- This role involves managing a team of data analysts, developing data-driven strategies, and providing actionable insights to support business decision-making.
Core Responsibilities and Key Result Areas
Data Analysis and Reporting
- Oversee the collection, processing, and analysis of large datasets to identify trends, patterns, and insights.
- Develop and maintain dashboards, reports, and visualizations to communicate findings to stakeholders.
- Ensure the accuracy, consistency, and reliability of data and analytical outputs.
Strategic Collaboration
- Work closely with other departments (e.g., Marketing, Quality & FPA ) to understand their data needs and provide analytical support.
- Collaborate with IT and Data Engineering teams to ensure data infrastructure and tools meet the needs of the analysis team.
- Participate in strategic planning and decision-making processes, providing data-driven insights and recommendations.
Process Improvement
- Develop and implement best practices for data analysis and reporting.
- Continuously seek opportunities to improve data collection, analysis processes, and reporting methods.
- Stay updated with the latest industry trends and technologies in data analysis and integrate relevant advancements into the team’s workflow.
Project Management
- Manage multiple data analysis projects simultaneously, ensuring they are completed on time and meet quality standards.
- Prioritize projects based on business needs and allocate resources effectively.
- Communicate project status, risks, and issues to senior management.
Key Performance Indicators
- Data Accuracy and Quality: Percentage of data errors identified and corrected
- Timeliness of Data Delivery: Average time taken to deliver reports and analysis, Percentage of projects delivered on time
- Report Utilization and Impact: Number of reports generated and distributed, Number of times reports are accessed and used by stakeholders, Stakeholder satisfaction scores on the usefulness of reports
- Insight Generation: Number of actionable insights provided, Percentage of insights implemented by the business
- Cost Efficiency: Cost savings achieved through data analysis projects,
- Team Performance: Productivity metrics for the data analysis team (e.g., reports per analyst, projects per analyst), Employee satisfaction and retention rates within the data analysis team, Training and development hours per team member
- Collaboration and Communication: Number of cross-departmental projects successfully completed,
Knowledge Requirements
- Demonstrates good research, quantitative, and analytical skills
- Excellent attention to detail
- Competent in software programs such as Power Bi, R, Microsoft Office, Excel and PowerPoint
- Highest standards of accuracy and precision; highly organized
- Demonstrates commercial and economic awareness, including an awareness of global economic factors that can influence the Food & Beverage and QSR industry
- Ability to think creatively, highly driven and self-motivated
- Knowledge of written and verbal communication skills
Requirements
- Bachelor’s Degree in Mathematics/Statistics or related field
- Membership of BIDA, IIBA or any other related professional qualification is required.
- Minimum of 2 years’ experience as Data analyst or similar role.
- Experience in a QSR company in a similar role is an asset
Method of Application
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